WO2017039704A1 - Biometric medical information system including mobile application, scoring model and provider portal - Google Patents

Biometric medical information system including mobile application, scoring model and provider portal Download PDF

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Publication number
WO2017039704A1
WO2017039704A1 PCT/US2015/048731 US2015048731W WO2017039704A1 WO 2017039704 A1 WO2017039704 A1 WO 2017039704A1 US 2015048731 W US2015048731 W US 2015048731W WO 2017039704 A1 WO2017039704 A1 WO 2017039704A1
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Prior art keywords
patient
mobile device
biometric
health care
biometric information
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PCT/US2015/048731
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French (fr)
Inventor
Stuart K. J. SMYTH
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Smyth Stuart K J
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Priority to PCT/US2015/048731 priority Critical patent/WO2017039704A1/en
Publication of WO2017039704A1 publication Critical patent/WO2017039704A1/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/442—Evaluating skin mechanical properties, e.g. elasticity, hardness, texture, wrinkle assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6822—Neck
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Definitions

  • Some implementations relate generally to medical information systems and, more particularly, to biometric medical information systems, methods and computer readable media including a mobile application, a scoring model and a provider portal.
  • biometrics can be used to help measure and analyze human characteristics (e.g., unique identifiers).
  • the biometric informatics systems, methods and computer readable media described herein can include combining the measurement and analysis of human biometric characteristics with a computerized medical diary and questionnaire system to provide input for a scoring model that generates a score representing a level or degree of severity of one or more medical conditions and/or a level of necessity (or desire) for a particular procedure (e.g., a facial plastic surgery procedure) associated with the biometric characteristics.
  • the score can also provide a measure for comparison against group data and serve as a baseline for the patient to use in evaluating the efficacy or results of a procedure or treatment.
  • the score can be compared to the patient's individual or cumulative biometric measurements to provide a chronological analysis of the biometric identifiers or characteristics.
  • the patient's individual score (or scores) can also be compared and contrasted to statistics of a larger population or sample of people to arrive at a conclusion about the state or condition of the patient's medical condition associated with the biometric characteristics relative to the larger population or sample.
  • biometric characteristics can be gathered using technologies such as facial recognition. Facial recognition technologies may not require the cooperation of the patient (or user).
  • a mobile device or computer equipped with an imaging sensor e.g., built- in camera, web camera, etc.
  • the biometric medical informatics application can analyze the images of the patient's face to determine, for example, a number of wrinkles prior to a treatment (e.g., botulinum toxin) and following the treatment.
  • a treatment e.g., botulinum toxin
  • the system can provide an indication to the patient (e.g., via notification on a mobile device) that a follow up treatment may be helpful.
  • the electronic diary/questionnaire can be filled out by the patient (e.g., on the patient's mobile device) prior to visit with a healthcare provider. Also, throughout the course of the therapy or treatment, the patient can user the electronic diary/questionnaire to document results, side effects and to otherwise make notes or comments for later discussion with, or viewing by, the healthcare provider.
  • the biometric medical informatics mobile application can permit the patient to send messages (e.g., text messages, emails, etc.) through the mobile application to the healthcare provider. All patient information (e.g., diary entries, questionnaire answers, medical history information, biometric information, scores, etc.) can be sent securely through to the provider portal using a proprietary score unique to each patient and/or encryption using a key based on the biometric information of the patient.
  • Some implementations can include four main phases: biometry,
  • the patient can fill out a computer-based diary/questionnaire on his/her mobile device (e.g., phone or tablet) or on a website.
  • a non-intrusive capture of biometric information can be performed (e.g., an image of the patient's face can be captured with a mobile phone or with a web cam).
  • the biometric system can begin the extraction process of the facial features, in the case of dermatological condition.
  • the system in another example, in the case of headaches, can begin documentation of frequency of headaches, date and time of headaches, percent of pain, facial expression of pain, views from lack of sleep, etc. to provide documentation to support a precertification process.
  • the system can compare biometric features from distinct periods in time. The system can verify the actual patient using the software (e.g., for security purposes), then the system can make comparative measurements (or micro-measurements) of the facial characteristics between two or more photos of the face at fully documented points of time within the diary system.
  • the verification/validation phase can be used to verify that treatment has been given and that the patient is responding, validate that a particular course of treatment is effective, determine effectiveness of a particular course of treatment, etc.
  • the system can compare biometric features between a patient and a larger sample group (phenotypes) with similar characteristics, demographics, physiology, race etc.
  • the phenotypes may be assigned a proprietary score that could be used to compare against individual scores of patients.
  • the phenotype data and individual patient data can be stored in a database (with privacy ensured as requested by a patient or required by laws or rules) for use in research and machine learning to improve the biometric medical informatics system.
  • an implementation of the biometric medical informatics system could be configured for use with patients suffering from muscle contraction headaches (MCH). Facial expressions are often notable in MCH patients.
  • the biometric informatics system for MCH can be provided as a simple or complex system.
  • the simple system can include a facial comparative system with diary and questionnaire.
  • the system can monitor fatigue levels to indicate marked sleep deprivation as a result of migraines.
  • facial pain gradients can be recorded and compared against a sampling (phenotypic).
  • Self -reported patient information e.g., autoinformatic information
  • the complex biometric medical informatics application system can provide a primary work up using frontal electromyography (EMG), temporal blood volume pulse, and heart rate.
  • Home monitoring can include obtaining measurements using EMG sensor, home heart rate and a sensor patch on artery in neck to measure blood volume pulse.
  • the sensor patch can be a patch configuration of a sensor similar to that described in U.S. Patent No. 8,231,552, which is incorporated herein by reference.
  • the simple and/or complex biometric applications can provide caregiver control.
  • plastic surgeons, dermatologists and ear, nose and throat (ENT) specialists typically have "consumer friendly" practices well-equipped to integrate a biometric medical informatics application and protocol into their practices.
  • the process of documentation of headaches as a measurement of pain can be carried out in the form of facial pain/expression and other suitable methodologies.
  • Patient information can be immediately sent to the doctor for his/her review and recommendation with a summary report.
  • biometric medical informatics mobile application can be understood from the following example.
  • a patient/client can be photographed, or photograph themselves, following a set series of facial exercises to document symptoms or conditions such as deep rhytids/wrinkles, crow's feet, facial-volume loss, deep facial folds, glabella rhytids, migraine headaches, etc.
  • This documentation may be essential for treatment-planning, for example with botulinum toxin injections and fillers.
  • a 46-year old female concerned about sudden appearance lower lids rhytids, submits her images and digital diary entries via a biometric medical informatics application to her physicians' secure biometric medical informatics portal.
  • the biometric database e.g., of phenotypes
  • the patient's unique biometric identifiers are calculated for a proprietary score and compared to an appropriate phenotypic template.
  • the patient currently has 22 eye wrinkles compared to a desired average of 16 for her peers.
  • the biometric medical informatics system is able to provide a baseline score and measurement of the patient's condition, compare the baseline to a phenotype and monitor changes in condition following treatment.
  • the biometric medical informatics provider portal for dermatology can include functions to help a physician (or other healthcare provider) evaluate wrinkles and facial tissue volume.
  • the portal can also provide a patient's pre-treatment score(s) and post-treatment score(s).
  • the provider portal can be used to prequalify the patient for treatment, provide reminders (e.g., notifications and/or pop-up messages) to the patient and/or healthcare provider.
  • the provider portal can also provide function to permit a healthcare provider to provide advice, coaching and electronic feedback to the patient via the biometric medical informatics application. Through the provider portal an authorized healthcare provider can change or modify treatment plans and provide long and short term follow up care for patients.
  • the provider portal also provides data metrics/analytics that can be used as a clinical decision making support tool.
  • biometric medical informatics system can provide an advantage of helping enhance patient engagement and addressing requirements mandated in legislation (e.g., the Meaningful Use legislation) for healthcare services and providers.
  • the biometric medical informatics system can help patients and/or providers understand more about disease and patient treatment.
  • the biometric medical informatics system can help make healthcare more patient-centered and help create an alliance between the patient and the provider.
  • the biometric medical informatics system can help provide an outcome -based tool for medical treatment.
  • Some implementations of the biometric medical informatics system can combine patient data with information from other sources such as clinician reports, diagnostic data, biometrics, laboratory tests, medication lists, claims data, etc. to help measure the outcomes and costs of care for discrete clinical populations, and help promote accountability by health systems to measure the impact of care on health outcomes and costs.
  • biometric medical informatics system can help accelerate the clinical trial process, and may help reduce the cost of trials by providing patient reported data and outcomes with all information and processes controlled by the clinician.
  • biometric medical informatics systems, methods and computer readable media described herein can be applied to any suitable medical condition where use of a computerized biometric medical informatics system may be desired.
  • Some implementations can include a computer-implemented method.
  • the method can include obtaining, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application.
  • the method can also include obtaining, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device, and generating, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information.
  • the method can further include exchanging data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
  • the method can also include obtaining, using the mobile device, subsequent biometric information from the patient via the biometric sensor in communication with the mobile device, and generating, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
  • the method can further include providing for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
  • the method can further include registering, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generating, using the mobile device, a data encryption key based at least in part on the biometric information.
  • the method can also include exchanging the data encryption key with the external system, and encrypting and decrypting information exchanged between the biometric patient application and the external system using the data encryption key.
  • the biometric sensor can include a camera in the mobile device.
  • the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
  • the biometric information can include dynamic biometric information.
  • the data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
  • the data exchanged between the patient and the health care provider can include patient approval of a course of treatment.
  • the data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider.
  • Some implementations can include a system comprising a computer having one or more processors, and a computer readable storage having stored therein software instructions that, when executed by the one or more processors, cause the one or more processors to obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application, and obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device.
  • the instructions further cause the one or more processors to generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information, and exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
  • the instructions can also cause the one or more processors to obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in
  • the instructions can further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
  • the instructions can also cause the one or more processors to register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generate, using the mobile device, a data encryption key based at least in part on the biometric information.
  • the instructions can further cause the one or more processors to exchange the data encryption key with the external system; and encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
  • the biometric sensor can include a camera in the mobile device.
  • the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
  • the biometric information can include dynamic biometric information.
  • the data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
  • the data exchanged between the patient and the health care provider can include patient approval of a course of treatment.
  • the data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider.
  • Some implementations can include a nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application, and obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device.
  • the instructions can also cause the one or more processors to generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information.
  • the instructions can also cause the one or more processors to exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
  • the instructions can also cause the one or more processors to obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in
  • the instructions can further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
  • the instructions can also cause the one or more processors to register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generate, using the mobile device, a data encryption key based at least in part on the biometric information.
  • the instructions can further cause the one or more processors to exchange the data encryption key with the external system; and encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
  • the biometric sensor can include a camera in the mobile device.
  • the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
  • the biometric information can include dynamic biometric information.
  • the data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
  • the data exchanged between the patient and the health care provider can include patient approval of a course of treatment.
  • the data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider.
  • FIG. 1 is a diagram of an example biometric medical informatics environment in accordance with at least one implementation.
  • FIG. 2 is a flowchart of an example biometric medical informatics method in accordance with at least one implementation.
  • FIG. 3 is a diagram of an example biometric medical informatics computer system in accordance with at least one implementation.
  • FIG. 4 shows example baseline biometric characteristics in accordance with at least one implementation.
  • FIG. 5 is an example baseline biometric medical informatics user interface in accordance with at least one implementation.
  • FIG. 6 shows example subsequent biometric characteristics in accordance with at least one implementation.
  • FIG. 7 is an example subsequent biometric medical informatics user interface in accordance with at least one implementation.
  • some implementations may include the use of either remote mobile or web- based captured photographic and videographic images of static and dynamic facial appearance for the analysis of a patient's unique biometric identifiers.
  • Identifiers can be measured against a biometric database.
  • the measurement against the database can include a comparison of a patient's identifiers with a specific template of desired outcomes based on skin type, race, age, physiology, demographics etc.
  • the method can include sending the images and the comparison results securely to a provider along with a digital diary/questionnaire specifically crafted for a medical application or symptom related disease.
  • the data format may be EMR/EHR compatible, which can provide the patient with an ability to communicate remotely with his/her provider via a provider portal and for the provider to return any information back to the patient.
  • EMR/EHR compatible can provide the patient with an ability to communicate remotely with his/her provider via a provider portal and for the provider to return any information back to the patient.
  • the secure and discrete exchange of information between the patient and the provider via the mobile/web application and the provider portal provides patient- inspired reporting and may help improve patient/provider engagement.
  • FIG. 1 is a diagram of an example biometric medical informatics environment 100 in accordance with at least one implementation.
  • the environment 100 can include a computerized biometric medical informatics system 102.
  • a plurality of user devices (104 - 108) can communicate with the biometric computerized medical informatics system 102 via network 110.
  • the computerized provider portal 102 can provide medical information for one or more patients to a healthcare provider (e.g., a physician) (112) and, optionally, to a researcher 114.
  • a healthcare provider e.g., a physician
  • the patient devices (104 - 108) can include a desktop computer, laptop computer, tablet computer, wireless smart phone, electronic book reader, media player and/or the like.
  • the network 110 can include a wired or wireless network (e.g., the Internet).
  • One or more patient devices (e.g., 104 and 106) can communicate wirelessly with the network 110, while other patient devices (e.g., 108) can communicate via a wired interface.
  • FIG. 2 is a flowchart of an example biometric medical informatics method in accordance with at least one implementation. Processing begins at 202, where a patient (or other person) registers a biometric medical informatics application (e.g., a mobile and/or web application) using a device associated with the patient (e.g., a mobile device). Processing continues to 204.
  • a biometric medical informatics application e.g., a mobile and/or web application
  • a device associated with the patient e.g., a mobile device.
  • medical history information is received from the patient via the biometric medical informatics application.
  • the medical history information can be received via text entry to a software application, voice recording, video recording, handwriting entry, gesture entry or the like. Processing continues to 206.
  • baseline biometric information is obtained from the patient via a biometric sensor in communication with the mobile device.
  • the baseline biometric information can include image data indicating one or more visual features of a portion of a patient's body (e.g., the patient's face). Processing continues to 208.
  • questionnaire response information is received from the patient via the biometric medical informatics application.
  • the questionnaire response information can be received via text entry to a software application, voice recording, video recording, handwriting entry, gesture entry or the like. Processing continues to 210.
  • a score corresponding to a medical condition is determined based on the portion of the medical history, the one or more patient responses and the baseline biometric information.
  • the score can be determined based on a model corresponding to one or more medical conditions.
  • the model can receive as input the medical history, the one or more patient responses and the baseline (and/or subsequent) biometric information.
  • the score model can utilize one or more assessment types to create a single composite score.
  • a questionnaire which measures a patient's overall symptoms
  • a diary that pinpoints those symptoms in real time
  • a biometric value that includes measurements of the biometric data representing one or more features of the patient's condition or physical state.
  • these individual elements can each be normalized to a scale (e.g., ranging from 0 to 100) on which higher values represent more severe symptoms or conditions that may indicate a need for treatment or retreatment and combined into a single score (e.g., via an un-weighted or a weighted average).
  • the scores can be arranged such that lower scores represent more severe symptoms or features.
  • the score can be complemented by a subjective influence indicator.
  • the subjective influence indicator can provide an indication of the reliability of the score for each individual patient. For example, on any given day, a patient may exhibit symptoms abnormal to their situation. Recording those abnormal symptoms could skew a physician's understanding of the patient's condition. The subjective influence indicator can help account for this situation by representing how accurately patients' symptoms are described by the value of the score.
  • the score can be based on information from a questionnaire, biometric data, and a diary. Further, at the end of the diary the system can receive a subjective indicator from the patient. The subjective indicator can give the provider an indicator of how normal the normal diary period is. That is the symptom indicator.
  • the questionnaire, the biometric data and the diary can each have an individual scoring system. The patient's symptoms (or conditions) can each be given a value based on biometric data. The biometric data can then be combined with the diary and the questionnaire scores. In some implementations, the combination can be normalized to a scale (e.g., 0-100). For example, the higher the score the worse the symptoms are. The patient will see the score as will the provider and both can track the symptom/condition progress. The number in the indicator score can be representative of the patient's actual symptoms/conditions. With more data, the score can be scaled to additional coverage. Processing can continue to 212.
  • a scale e.g., 0-100
  • information is securely exchanged between the patient application and the provider portal.
  • the information exchange can be secured by locking the information being exchanged using the patient biometric data as the key to unlock the information (e.g., similar to a locked document file or the like).
  • the biometric data used to encrypt or lock the information being exchange can include biometric features that will not be changing as a result of treatment (e.g., appearance, location or spacing of facial features that are expected to remain relatively constant).
  • the key on the patient device can include biometric data obtained at that device and the key at the provider portal can include information obtained by the provider.
  • biometric data used for the key may be obtained at the patient device and sent to the provider portal for use by the provider portal in locking/unlocking (or encrypting/decrypting) data exchanged between the patient and the provider. Processing can continue to 214.
  • the provider can monitor treatment response and/or patient compliance via information exchange between the patient mobile/web app and the provider portal. For example, a physician or other provider can view results, events, trends and view scoring tool on the provider portal.
  • the patient can use the provider portal to receive push notifications and communicate with the provider's office. Both the patient and provider can receive updated information from the mobile/web app such as updated scoring, biometric data, medical diary data, etc.
  • the electronic communication between the patient and the provider may provide for quicker assessments, treatment, follow-ups, etc. Through the direct involvement between the patient and the provider, the patient may feel more empowered regarding treatment and may better understand treatment plans, when to retreat, etc.
  • the secure exchange of information between the patient and the provider via the mobile/web app and the provider portal can provide the advantages of timely tracking of treatment outcomes, improved interaction between the patient and provider, which can all contribute to greater satisfaction of the patient and doctor.
  • FIG. 3 is an example computing system 300 for computerized biometric medical informatics in accordance with at least one implementation.
  • the computing system 300 includes a processor 302, an operating system 304, a memory 306 and an I/O interface 308.
  • the memory 306 can include a biometric medical informatics system application 310 and one or more medical informatics entries and/or patient information records 312 (e.g., biometric information, medical history information, questionnaire response information, etc.).
  • the processor 302 may execute the application 310 stored in the memory 306.
  • the application 310 can include software instructions that, when executed by the processor, cause the processor to perform operations for a computerized biometric medical informatics system in accordance with the present disclosure (e.g., performing one or more of steps 202-214 described above).
  • the application program 310 can operate in conjunction with the one or more medical informatics entries and/or patient information records 312 and the operating system 304.
  • FIG. 4 shows example baseline biometric characteristics in accordance with at least one implementation.
  • the biometric characteristics can include eye characteristics 402 and 404, and mouth area characteristics 406.
  • the biometric data representing these features may be obtained via a camera of a mobile device.
  • the biometric data can be analyzed and converted into one or more biometric scores as shown in FIG. 5.
  • the mobile/web app can determined scores such as eye wrinkles, deep lines and fine lines, which in the example shown in FIG. 5 are 4, 6 and 10, respectively.
  • the mobile/web app can also provide a comparison of the patient's scores to average scores for people of the same or similar characteristics as the patient (e.g., gender, age, race, skin type, etc.).
  • FIG. 6 shows example subsequent (e.g., post treatment or procedure) biometric characteristics in accordance with at least one implementation.
  • the appearance of the facial lines 602-606 (corresponding to 402-406 shown in FIG. 4) have been diminished as indicated by the dashed lines. This can help the patient and provider determine the effects of a course of treatment or a procedure.
  • new scores can be generated as shown in FIG. 7.
  • the new example scores shown in FIG. 7 are 0, 2, 6 for eye wrinkles, deep lines and fine lines, respectively. This compares favorably with the scores shown in FIG. 5 and provides the patient and provider with a basis of evaluating the outcome or progress of the treatment or procedure for the patient.
  • FIGS. 4-7 are very simple examples for illustration purposes. Actual implementations may include more or less features and more or less scores generated based on an analysis of those features.
  • modules, processes, systems, and sections described above can be implemented in hardware, hardware programmed by software, software instructions stored on a nontransitory computer readable medium or a combination of the above.
  • a system as described above can include a processor configured to execute a sequence of programmed instructions stored on a nontransitory computer readable medium.
  • the processor can include, but not be limited to, a personal computer or workstation or other such computing system that includes a processor, microprocessor, microcontroller device, or is comprised of control logic including integrated circuits such as, for example, an Application Specific Integrated Circuit (ASIC).
  • ASIC Application Specific Integrated Circuit
  • the instructions can be compiled from source code instructions provided in accordance with a programming language such as Java, C, C++, C#.net, assembly or the like.
  • the instructions can also comprise code and data objects provided in accordance with, for example, the Visual BasicTM language, or another structured or object- oriented programming language.
  • the sequence of programmed instructions, or programmable logic device configuration software, and data associated therewith can be stored in a
  • nontransitory computer-readable medium such as a computer memory or storage device which may be any suitable memory apparatus, such as, but not limited to ROM, PROM, EEPROM, RAM, flash memory, disk drive and the like.
  • modules, processes systems, and sections can be implemented as a single processor or as a distributed processor. Further, it should be appreciated that the steps mentioned above may be performed on a single or distributed processor (single and/or multi- core, or cloud computing system). Also, the processes, system components, modules, and sub- modules described in the various figures of and for embodiments above may be distributed across multiple computers or systems or may be co-located in a single processor or system. Example structural embodiment alternatives suitable for implementing the modules, sections, systems, means, or processes described herein are provided below.
  • modules, processors or systems described above can be implemented as a programmed general purpose computer, an electronic device programmed with microcode, a hard-wired analog logic circuit, software stored on a computer-readable medium or signal, an optical computing device, a networked system of electronic and/or optical devices, a special purpose computing device, an integrated circuit device, a semiconductor chip, and/or a software module or object stored on a computer-readable medium or signal, for example.
  • Embodiments of the method and system may be implemented on a general-purpose computer, a special-purpose computer, a programmed microprocessor or microcontroller and peripheral integrated circuit element, an ASIC or other integrated circuit, a digital signal processor, a hardwired electronic or logic circuit such as a discrete element circuit, a programmed logic circuit such as a PLD, PLA, FPGA, PAL, or the like.
  • any processor capable of implementing the functions or steps described herein can be used to implement embodiments of the method, system, or a computer program product (software program stored on a nontransitory computer readable medium).
  • embodiments of the disclosed method, system, and computer program product may be readily implemented, fully or partially, in software using, for example, object or object-oriented software development environments that provide portable source code that can be used on a variety of computer platforms.
  • embodiments of the disclosed method, system, and computer program product can be implemented partially or fully in hardware using, for example, standard logic circuits or a VLSI design.
  • Other hardware or software can be used to implement embodiments depending on the speed and/or efficiency requirements of the systems, the particular function, and/or particular software or hardware system, microprocessor, or microcomputer being utilized.
  • Embodiments of the method, system, and computer program product can be implemented in hardware and/or software using any known or later developed systems or structures, devices and/or software by those of ordinary skill in the applicable art from the function description provided herein and with a general basic knowledge of the software engineering, biometric and medical informatics arts.
  • embodiments of the disclosed method, system, and computer readable media can be implemented in software executed on a programmed general purpose computer, a special purpose computer, a microprocessor, or the like.
  • biometric medical information systems including a mobile application, a scoring model and a provider portal.

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Abstract

Biometric medical information systems, methods and computer readable media are disclosed. Some implementations can include a biometric medical information system having a mobile application, a scoring model and/or a provider portal.

Description

BIOMETRIC MEDICAL INFORMATION SYSTEM INCLUDING MOBILE APPLICATION,
SCORING MODEL AND PROVIDER PORTAL
TECHNICAL FIELD
[0001] Some implementations relate generally to medical information systems and, more particularly, to biometric medical information systems, methods and computer readable media including a mobile application, a scoring model and a provider portal.
OVERVIEW
[0002] In general, biometrics can be used to help measure and analyze human characteristics (e.g., unique identifiers). The biometric informatics systems, methods and computer readable media described herein can include combining the measurement and analysis of human biometric characteristics with a computerized medical diary and questionnaire system to provide input for a scoring model that generates a score representing a level or degree of severity of one or more medical conditions and/or a level of necessity (or desire) for a particular procedure (e.g., a facial plastic surgery procedure) associated with the biometric characteristics. The score can also provide a measure for comparison against group data and serve as a baseline for the patient to use in evaluating the efficacy or results of a procedure or treatment. In some implementations, the score can be compared to the patient's individual or cumulative biometric measurements to provide a chronological analysis of the biometric identifiers or characteristics. The patient's individual score (or scores) can also be compared and contrasted to statistics of a larger population or sample of people to arrive at a conclusion about the state or condition of the patient's medical condition associated with the biometric characteristics relative to the larger population or sample.
[0003] In some implementations, biometric characteristics can be gathered using technologies such as facial recognition. Facial recognition technologies may not require the cooperation of the patient (or user). A mobile device or computer equipped with an imaging sensor (e.g., built- in camera, web camera, etc.) can automatically (or manually) capture one or more images of the patient's face. The biometric medical informatics application can analyze the images of the patient's face to determine, for example, a number of wrinkles prior to a treatment (e.g., botulinum toxin) and following the treatment. As effects of the treatment wear off, the system can provide an indication to the patient (e.g., via notification on a mobile device) that a follow up treatment may be helpful. The electronic diary/questionnaire can be filled out by the patient (e.g., on the patient's mobile device) prior to visit with a healthcare provider. Also, throughout the course of the therapy or treatment, the patient can user the electronic diary/questionnaire to document results, side effects and to otherwise make notes or comments for later discussion with, or viewing by, the healthcare provider. The biometric medical informatics mobile application can permit the patient to send messages (e.g., text messages, emails, etc.) through the mobile application to the healthcare provider. All patient information (e.g., diary entries, questionnaire answers, medical history information, biometric information, scores, etc.) can be sent securely through to the provider portal using a proprietary score unique to each patient and/or encryption using a key based on the biometric information of the patient.
[0004] Some implementations can include four main phases: biometry,
registration/precertification, verification/validation and global phenotypic identification. In the biometry step, the patient can fill out a computer-based diary/questionnaire on his/her mobile device (e.g., phone or tablet) or on a website. Also, a non-intrusive capture of biometric information can be performed (e.g., an image of the patient's face can be captured with a mobile phone or with a web cam).
[0005] In the registration/precertification phase, the biometric system can begin the extraction process of the facial features, in the case of dermatological condition. Or, in another example, in the case of headaches, the system can begin documentation of frequency of headaches, date and time of headaches, percent of pain, facial expression of pain, views from lack of sleep, etc. to provide documentation to support a precertification process. In the verification/validation phase, the system can compare biometric features from distinct periods in time. The system can verify the actual patient using the software (e.g., for security purposes), then the system can make comparative measurements (or micro-measurements) of the facial characteristics between two or more photos of the face at fully documented points of time within the diary system. The verification/validation phase can be used to verify that treatment has been given and that the patient is responding, validate that a particular course of treatment is effective, determine effectiveness of a particular course of treatment, etc. [0006] In the global phenotypic identification phase the system can compare biometric features between a patient and a larger sample group (phenotypes) with similar characteristics, demographics, physiology, race etc. The phenotypes may be assigned a proprietary score that could be used to compare against individual scores of patients. The phenotype data and individual patient data can be stored in a database (with privacy ensured as requested by a patient or required by laws or rules) for use in research and machine learning to improve the biometric medical informatics system.
[0007] In another example, an implementation of the biometric medical informatics system could be configured for use with patients suffering from muscle contraction headaches (MCH). Facial expressions are often notable in MCH patients. The biometric informatics system for MCH can be provided as a simple or complex system. The simple system can include a facial comparative system with diary and questionnaire. The system can monitor fatigue levels to indicate marked sleep deprivation as a result of migraines. Also, facial pain gradients can be recorded and compared against a sampling (phenotypic). Self -reported patient information (e.g., autoinformatic information) can include pictorial expression comparative with diary and questionnaire.
[0008] The complex biometric medical informatics application system can provide a primary work up using frontal electromyography (EMG), temporal blood volume pulse, and heart rate. Home monitoring can include obtaining measurements using EMG sensor, home heart rate and a sensor patch on artery in neck to measure blood volume pulse. The sensor patch can be a patch configuration of a sensor similar to that described in U.S. Patent No. 8,231,552, which is incorporated herein by reference.
[0009] The simple and/or complex biometric applications can provide caregiver control. For example, plastic surgeons, dermatologists and ear, nose and throat (ENT) specialists typically have "consumer friendly" practices well-equipped to integrate a biometric medical informatics application and protocol into their practices. The process of documentation of headaches as a measurement of pain can be carried out in the form of facial pain/expression and other suitable methodologies. Patient information can be immediately sent to the doctor for his/her review and recommendation with a summary report.
[0010] Advantages of the biometric medical informatics mobile application can be understood from the following example. In almost any non-clinical setting, a patient/client can be photographed, or photograph themselves, following a set series of facial exercises to document symptoms or conditions such as deep rhytids/wrinkles, crow's feet, facial-volume loss, deep facial folds, glabella rhytids, migraine headaches, etc. This documentation may be essential for treatment-planning, for example with botulinum toxin injections and fillers.
[0011] In one example, a 46-year old female, concerned about sudden appearance lower lids rhytids, submits her images and digital diary entries via a biometric medical informatics application to her physicians' secure biometric medical informatics portal. Using the biometric database (e.g., of phenotypes), the patient's unique biometric identifiers are calculated for a proprietary score and compared to an appropriate phenotypic template. In this example, the patient currently has 22 eye wrinkles compared to a desired average of 16 for her peers. Thus, the biometric medical informatics system is able to provide a baseline score and measurement of the patient's condition, compare the baseline to a phenotype and monitor changes in condition following treatment.
[0012] In some implementations, the biometric medical informatics provider portal for dermatology can include functions to help a physician (or other healthcare provider) evaluate wrinkles and facial tissue volume. The portal can also provide a patient's pre-treatment score(s) and post-treatment score(s). The provider portal can be used to prequalify the patient for treatment, provide reminders (e.g., notifications and/or pop-up messages) to the patient and/or healthcare provider.
[0013] The provider portal can also provide function to permit a healthcare provider to provide advice, coaching and electronic feedback to the patient via the biometric medical informatics application. Through the provider portal an authorized healthcare provider can change or modify treatment plans and provide long and short term follow up care for patients. The provider portal also provides data metrics/analytics that can be used as a clinical decision making support tool.
[0014] Some implementations of the biometric medical informatics system can provide an advantage of helping enhance patient engagement and addressing requirements mandated in legislation (e.g., the Meaningful Use legislation) for healthcare services and providers. The biometric medical informatics system can help patients and/or providers understand more about disease and patient treatment. The biometric medical informatics system can help make healthcare more patient-centered and help create an alliance between the patient and the provider. [0015] The biometric medical informatics system can help provide an outcome -based tool for medical treatment. Some implementations of the biometric medical informatics system can combine patient data with information from other sources such as clinician reports, diagnostic data, biometrics, laboratory tests, medication lists, claims data, etc. to help measure the outcomes and costs of care for discrete clinical populations, and help promote accountability by health systems to measure the impact of care on health outcomes and costs.
[0016] Some implementations of the biometric medical informatics system can help accelerate the clinical trial process, and may help reduce the cost of trials by providing patient reported data and outcomes with all information and processes controlled by the clinician.
[0017] It will be appreciated that although the example implementations described herein are directed to aesthetic/dermatological conditions and migraine headaches, the biometric medical informatics systems, methods and computer readable media described herein can be applied to any suitable medical condition where use of a computerized biometric medical informatics system may be desired.
[0018] Some implementations can include a computer-implemented method. The method can include obtaining, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application. The method can also include obtaining, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device, and generating, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information. The method can further include exchanging data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
[0019] The method can also include obtaining, using the mobile device, subsequent biometric information from the patient via the biometric sensor in communication with the mobile device, and generating, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
[0020] The method can further include providing for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device. The method can further include registering, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generating, using the mobile device, a data encryption key based at least in part on the biometric information. The method can also include exchanging the data encryption key with the external system, and encrypting and decrypting information exchanged between the biometric patient application and the external system using the data encryption key.
[0021] In some implementations, the biometric sensor can include a camera in the mobile device. In some implementations, the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
[0022] In some implementations, the biometric information can include dynamic biometric information. The data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
[0023] The data exchanged between the patient and the health care provider can include patient approval of a course of treatment. The data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider.
[0024] Some implementations can include a system comprising a computer having one or more processors, and a computer readable storage having stored therein software instructions that, when executed by the one or more processors, cause the one or more processors to obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application, and obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device. The instructions further cause the one or more processors to generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information, and exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
[0025] The instructions can also cause the one or more processors to obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in
communication with the mobile device, and generate, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
[0026] The instructions can further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
[0027] The instructions can also cause the one or more processors to register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generate, using the mobile device, a data encryption key based at least in part on the biometric information. The instructions can further cause the one or more processors to exchange the data encryption key with the external system; and encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
[0028] In some implementations, the biometric sensor can include a camera in the mobile device. In some implementations, the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
[0029] In some implementations, the biometric information can include dynamic biometric information. The data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
[0030] The data exchanged between the patient and the health care provider can include patient approval of a course of treatment. The data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider.
[0031] Some implementations can include a nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application, and obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device. The instructions can also cause the one or more processors to generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information. The instructions can also cause the one or more processors to exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
[0032] The instructions can also cause the one or more processors to obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in
communication with the mobile device, and generate, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information. The instructions can further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
[0033] The instructions can also cause the one or more processors to register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient, and generate, using the mobile device, a data encryption key based at least in part on the biometric information. The instructions can further cause the one or more processors to exchange the data encryption key with the external system; and encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
[0034] In some implementations, the biometric sensor can include a camera in the mobile device. In some implementations, the biometric sensor can include an external sensor configured to obtain at least one physiological measurement from a patient.
[0035] In some implementations, the biometric information can include dynamic biometric information. The data exchanged between the patient and the health care provider can include a treatment recommendation from the health care provider.
[0036] The data exchanged between the patient and the health care provider can include patient approval of a course of treatment. The data exchanged between the patient and the health care provider can include a simulated result of a treatment or procedure from the health care provider. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] FIG. 1 is a diagram of an example biometric medical informatics environment in accordance with at least one implementation.
[0038] FIG. 2 is a flowchart of an example biometric medical informatics method in accordance with at least one implementation.
[0039] FIG. 3 is a diagram of an example biometric medical informatics computer system in accordance with at least one implementation.
[0040] FIG. 4 shows example baseline biometric characteristics in accordance with at least one implementation.
[0041] FIG. 5 is an example baseline biometric medical informatics user interface in accordance with at least one implementation.
[0042] FIG. 6 shows example subsequent biometric characteristics in accordance with at least one implementation.
[0043] FIG. 7 is an example subsequent biometric medical informatics user interface in accordance with at least one implementation.
DETAILED DESCRIPTION
[0044] In general, some implementations may include the use of either remote mobile or web- based captured photographic and videographic images of static and dynamic facial appearance for the analysis of a patient's unique biometric identifiers. Identifiers can be measured against a biometric database. The measurement against the database can include a comparison of a patient's identifiers with a specific template of desired outcomes based on skin type, race, age, physiology, demographics etc. Further, the method can include sending the images and the comparison results securely to a provider along with a digital diary/questionnaire specifically crafted for a medical application or symptom related disease. Additionally, the data format may be EMR/EHR compatible, which can provide the patient with an ability to communicate remotely with his/her provider via a provider portal and for the provider to return any information back to the patient. The secure and discrete exchange of information between the patient and the provider via the mobile/web application and the provider portal provides patient- inspired reporting and may help improve patient/provider engagement.
[0045] FIG. 1 is a diagram of an example biometric medical informatics environment 100 in accordance with at least one implementation. In particular, the environment 100 can include a computerized biometric medical informatics system 102. A plurality of user devices (104 - 108) can communicate with the biometric computerized medical informatics system 102 via network 110. The computerized provider portal 102 can provide medical information for one or more patients to a healthcare provider (e.g., a physician) (112) and, optionally, to a researcher 114.
[0046] The patient devices (104 - 108) can include a desktop computer, laptop computer, tablet computer, wireless smart phone, electronic book reader, media player and/or the like. The network 110 can include a wired or wireless network (e.g., the Internet). One or more patient devices (e.g., 104 and 106) can communicate wirelessly with the network 110, while other patient devices (e.g., 108) can communicate via a wired interface.
[0047] FIG. 2 is a flowchart of an example biometric medical informatics method in accordance with at least one implementation. Processing begins at 202, where a patient (or other person) registers a biometric medical informatics application (e.g., a mobile and/or web application) using a device associated with the patient (e.g., a mobile device). Processing continues to 204.
[0048] At 204, medical history information is received from the patient via the biometric medical informatics application. The medical history information can be received via text entry to a software application, voice recording, video recording, handwriting entry, gesture entry or the like. Processing continues to 206.
[0049] At 206, baseline biometric information is obtained from the patient via a biometric sensor in communication with the mobile device. The baseline biometric information can include image data indicating one or more visual features of a portion of a patient's body (e.g., the patient's face). Processing continues to 208.
[0050] At 208, questionnaire response information is received from the patient via the biometric medical informatics application. The questionnaire response information can be received via text entry to a software application, voice recording, video recording, handwriting entry, gesture entry or the like. Processing continues to 210.
[0051] At 210, a score corresponding to a medical condition is determined based on the portion of the medical history, the one or more patient responses and the baseline biometric information. The score can be determined based on a model corresponding to one or more medical conditions. The model can receive as input the medical history, the one or more patient responses and the baseline (and/or subsequent) biometric information.
[0052] The score model can utilize one or more assessment types to create a single composite score. For example, a questionnaire, which measures a patient's overall symptoms, can be combined with a diary that pinpoints those symptoms in real time and with a biometric value that includes measurements of the biometric data representing one or more features of the patient's condition or physical state. Together, these individual elements (diary, questionnaire and biometric value) can each be normalized to a scale (e.g., ranging from 0 to 100) on which higher values represent more severe symptoms or conditions that may indicate a need for treatment or retreatment and combined into a single score (e.g., via an un-weighted or a weighted average). It will be appreciated that the scores can be arranged such that lower scores represent more severe symptoms or features.
[0053] In some implementations, the score can be complemented by a subjective influence indicator. The subjective influence indicator can provide an indication of the reliability of the score for each individual patient. For example, on any given day, a patient may exhibit symptoms abnormal to their situation. Recording those abnormal symptoms could skew a physician's understanding of the patient's condition. The subjective influence indicator can help account for this situation by representing how accurately patients' symptoms are described by the value of the score.
[0054] In some implementations, the score can be based on information from a questionnaire, biometric data, and a diary. Further, at the end of the diary the system can receive a subjective indicator from the patient. The subjective indicator can give the provider an indicator of how normal the normal diary period is. That is the symptom indicator. The questionnaire, the biometric data and the diary can each have an individual scoring system. The patient's symptoms (or conditions) can each be given a value based on biometric data. The biometric data can then be combined with the diary and the questionnaire scores. In some implementations, the combination can be normalized to a scale (e.g., 0-100). For example, the higher the score the worse the symptoms are. The patient will see the score as will the provider and both can track the symptom/condition progress. The number in the indicator score can be representative of the patient's actual symptoms/conditions. With more data, the score can be scaled to additional coverage. Processing can continue to 212.
[0055] At 212, information is securely exchanged between the patient application and the provider portal. The information exchange can be secured by locking the information being exchanged using the patient biometric data as the key to unlock the information (e.g., similar to a locked document file or the like). The biometric data used to encrypt or lock the information being exchange can include biometric features that will not be changing as a result of treatment (e.g., appearance, location or spacing of facial features that are expected to remain relatively constant). In some implementations, the key on the patient device can include biometric data obtained at that device and the key at the provider portal can include information obtained by the provider. This way, there are two independent sets of biometric information that are verifiable by virtue of the patient device being associated with the patient and the patient's presence at the provider's location. In other implementations, the biometric data used for the key may be obtained at the patient device and sent to the provider portal for use by the provider portal in locking/unlocking (or encrypting/decrypting) data exchanged between the patient and the provider. Processing can continue to 214.
[0056] At 214, the provider can monitor treatment response and/or patient compliance via information exchange between the patient mobile/web app and the provider portal. For example, a physician or other provider can view results, events, trends and view scoring tool on the provider portal. The patient can use the provider portal to receive push notifications and communicate with the provider's office. Both the patient and provider can receive updated information from the mobile/web app such as updated scoring, biometric data, medical diary data, etc. By providing secure remote interaction between the patient and the provider, the patient may receive greater privacy and both the patient and provider may benefit from lower costs by reducing in person visits to the provider.
[0057] The electronic communication between the patient and the provider may provide for quicker assessments, treatment, follow-ups, etc. Through the direct involvement between the patient and the provider, the patient may feel more empowered regarding treatment and may better understand treatment plans, when to retreat, etc.
[0058] The secure exchange of information between the patient and the provider via the mobile/web app and the provider portal can provide the advantages of timely tracking of treatment outcomes, improved interaction between the patient and provider, which can all contribute to greater satisfaction of the patient and doctor.
[0059] It will be appreciated that 202 - 214 can be repeated in whole or in part in order to accomplish a contemplated medical biometric informatics task.
[0060] FIG. 3 is an example computing system 300 for computerized biometric medical informatics in accordance with at least one implementation. The computing system 300 includes a processor 302, an operating system 304, a memory 306 and an I/O interface 308. The memory 306 can include a biometric medical informatics system application 310 and one or more medical informatics entries and/or patient information records 312 (e.g., biometric information, medical history information, questionnaire response information, etc.).
[0061] In operation, the processor 302 may execute the application 310 stored in the memory 306. The application 310 can include software instructions that, when executed by the processor, cause the processor to perform operations for a computerized biometric medical informatics system in accordance with the present disclosure (e.g., performing one or more of steps 202-214 described above).
[0062] The application program 310 can operate in conjunction with the one or more medical informatics entries and/or patient information records 312 and the operating system 304.
[0063] FIG. 4 shows example baseline biometric characteristics in accordance with at least one implementation. In particular, the biometric characteristics can include eye characteristics 402 and 404, and mouth area characteristics 406. For example, the biometric data representing these features (e.g., 402-406) may be obtained via a camera of a mobile device. The biometric data can be analyzed and converted into one or more biometric scores as shown in FIG. 5.
[0064] Based on the biometric features determined from FIG. 4, the mobile/web app can determined scores such as eye wrinkles, deep lines and fine lines, which in the example shown in FIG. 5 are 4, 6 and 10, respectively. The mobile/web app can also provide a comparison of the patient's scores to average scores for people of the same or similar characteristics as the patient (e.g., gender, age, race, skin type, etc.).
[0065] FIG. 6 shows example subsequent (e.g., post treatment or procedure) biometric characteristics in accordance with at least one implementation. In the example shown in FIG. 6, the appearance of the facial lines 602-606 (corresponding to 402-406 shown in FIG. 4) have been diminished as indicated by the dashed lines. This can help the patient and provider determine the effects of a course of treatment or a procedure. Also, based on the subsequent biometric data, new scores can be generated as shown in FIG. 7.
[0066] The new example scores shown in FIG. 7 are 0, 2, 6 for eye wrinkles, deep lines and fine lines, respectively. This compares favorably with the scores shown in FIG. 5 and provides the patient and provider with a basis of evaluating the outcome or progress of the treatment or procedure for the patient.
[0067] It will be appreciated that the examples shown in FIGS. 4-7 are very simple examples for illustration purposes. Actual implementations may include more or less features and more or less scores generated based on an analysis of those features.
[0068] It will be appreciated that the modules, processes, systems, and sections described above can be implemented in hardware, hardware programmed by software, software instructions stored on a nontransitory computer readable medium or a combination of the above. A system as described above, for example, can include a processor configured to execute a sequence of programmed instructions stored on a nontransitory computer readable medium. For example, the processor can include, but not be limited to, a personal computer or workstation or other such computing system that includes a processor, microprocessor, microcontroller device, or is comprised of control logic including integrated circuits such as, for example, an Application Specific Integrated Circuit (ASIC). The instructions can be compiled from source code instructions provided in accordance with a programming language such as Java, C, C++, C#.net, assembly or the like. The instructions can also comprise code and data objects provided in accordance with, for example, the Visual Basic™ language, or another structured or object- oriented programming language. The sequence of programmed instructions, or programmable logic device configuration software, and data associated therewith can be stored in a
nontransitory computer-readable medium such as a computer memory or storage device which may be any suitable memory apparatus, such as, but not limited to ROM, PROM, EEPROM, RAM, flash memory, disk drive and the like.
[0069] Furthermore, the modules, processes systems, and sections can be implemented as a single processor or as a distributed processor. Further, it should be appreciated that the steps mentioned above may be performed on a single or distributed processor (single and/or multi- core, or cloud computing system). Also, the processes, system components, modules, and sub- modules described in the various figures of and for embodiments above may be distributed across multiple computers or systems or may be co-located in a single processor or system. Example structural embodiment alternatives suitable for implementing the modules, sections, systems, means, or processes described herein are provided below.
[0070] The modules, processors or systems described above can be implemented as a programmed general purpose computer, an electronic device programmed with microcode, a hard-wired analog logic circuit, software stored on a computer-readable medium or signal, an optical computing device, a networked system of electronic and/or optical devices, a special purpose computing device, an integrated circuit device, a semiconductor chip, and/or a software module or object stored on a computer-readable medium or signal, for example.
[0071] Embodiments of the method and system (or their sub-components or modules), may be implemented on a general-purpose computer, a special-purpose computer, a programmed microprocessor or microcontroller and peripheral integrated circuit element, an ASIC or other integrated circuit, a digital signal processor, a hardwired electronic or logic circuit such as a discrete element circuit, a programmed logic circuit such as a PLD, PLA, FPGA, PAL, or the like. In general, any processor capable of implementing the functions or steps described herein can be used to implement embodiments of the method, system, or a computer program product (software program stored on a nontransitory computer readable medium).
[0072] Furthermore, embodiments of the disclosed method, system, and computer program product (or software instructions stored on a nontransitory computer readable medium) may be readily implemented, fully or partially, in software using, for example, object or object-oriented software development environments that provide portable source code that can be used on a variety of computer platforms. Alternatively, embodiments of the disclosed method, system, and computer program product can be implemented partially or fully in hardware using, for example, standard logic circuits or a VLSI design. Other hardware or software can be used to implement embodiments depending on the speed and/or efficiency requirements of the systems, the particular function, and/or particular software or hardware system, microprocessor, or microcomputer being utilized. Embodiments of the method, system, and computer program product can be implemented in hardware and/or software using any known or later developed systems or structures, devices and/or software by those of ordinary skill in the applicable art from the function description provided herein and with a general basic knowledge of the software engineering, biometric and medical informatics arts. [0073] Moreover, embodiments of the disclosed method, system, and computer readable media (or computer program product) can be implemented in software executed on a programmed general purpose computer, a special purpose computer, a microprocessor, or the like.
[0074] It is, therefore, apparent that there is provided, in accordance with the various embodiments disclosed herein, biometric medical information systems, methods and computer readable media including a mobile application, a scoring model and a provider portal.
[0075] While the disclosed subject matter has been described in conjunction with a number of implementations, it is evident that many alternatives, modifications and variations would be, or are, apparent to those of ordinary skill in the applicable arts. Accordingly, Applicant intends to embrace all such alternatives, modifications, equivalents and variations that are within the spirit and scope of the disclosed subject matter.

Claims

CLAIMS What is claimed is:
1. A computer- implemented method comprising:
obtaining, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application;
obtaining, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device;
generating, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information; and
exchanging data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
2. The method of claim 1, further comprising: obtaining, using the mobile device, subsequent biometric information from the patient via the biometric sensor in communication with the mobile device; and
generating, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
3. The method of claim 1, further comprising providing for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
4. The method of claim 1, further comprising:
registering, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient; generating, using the mobile device, a data encryption key based at least in part on the biometric information;
exchanging the data encryption key with the external system; and
encrypting and decrypting information exchanged between the biometric patient application and the external system using the data encryption key.
5. The method of claim 1, wherein the biometric sensor includes a camera in the mobile device.
6. The method of claim 1, wherein the biometric sensor includes an external sensor configured to obtain at least one physiological measurement from a patient.
7. The method of claim 1, wherein the biometric information includes dynamic biometric information.
8. The method of claim 1, wherein the data exchanged between the patient and the health care provider includes a treatment recommendation from the health care provider.
9. The method of claim 1, wherein the data exchanged between the patient and the health care provider includes patient approval of a course of treatment.
10. The method of claim 1, wherein the data exchanged between the patient and the health care provider includes a simulated result of a treatment or procedure from the health care provider.
11. A system comprising:
a computer having one or more processors; and
a computer readable storage having stored therein software instructions that, when executed by the one or more processors, cause the one or more processors to:
obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application; obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device;
generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information; and
exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
12. The system of claim 11, wherein the instructions further cause the one or more processors to: obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in communication with the mobile device; and
generate, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
13. The system of claim 11, wherein the instructions further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
14. The system of claim 11, wherein the instructions further cause the one or more processors to: register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient;
generate, using the mobile device, a data encryption key based at least in part on the biometric information;
exchange the data encryption key with the external system; and
encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
15. The system of claim 11, wherein the biometric sensor includes a camera in the mobile device.
16. The system of claim 11, wherein the biometric sensor includes an external sensor configured to obtain at least one physiological measurement from a patient.
17. The system of claim 11, wherein the biometric information includes dynamic biometric information.
18. The system of claim 11, wherein the data exchanged between the patient and the health care provider includes a treatment recommendation from the health care provider.
19. The system of claim 11, wherein the data exchanged between the patient and the health care provider includes patient approval of a course of treatment.
20. The system of claim 11, wherein the data exchanged between the patient and the health care provider includes a simulated result of a treatment or procedure from the health care provider.
21. A nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to:
obtain, from a mobile device, at least a portion of a medical history of a patient via a biometric patient application and one or more patient responses to questions presented via the biometric patient application;
obtain, using the mobile device, baseline biometric information from the patient via a biometric sensor in communication with the mobile device;
generate, using the mobile device, a composite score based on individual scores from one or more of the portion of the medical history, the one or more patient responses and the baseline biometric information; and
exchange data between the mobile device and a health care provider portal, the data including one or more of the composite score and information from a health care provider.
22. The nontransitory computer readable medium of claim 21, wherein the instructions further cause the one or more processors to: obtain, using the mobile device, subsequent biometric information from the patient via the biometric sensor in communication with the mobile device; and
generate, using the mobile device, a new score corresponding to the medical condition based on the portion of the medical history, the one or more patient responses, the baseline biometric information and the subsequent biometric information.
23. The nontransitory computer readable medium of claim 21, wherein the instructions further cause the one or more processors to provide for display on a display of the mobile device at least one of the score, the portion of the medical history, the one or more patient responses and the baseline biometric information to a system external to the mobile device.
24. The nontransitory computer readable medium of claim 21, wherein the instructions further cause the one or more processors to:
register, using one or more processors of a mobile device, a biometric patient application installed on the mobile device, the mobile device being associated with a patient;
generate, using the mobile device, a data encryption key based at least in part on the biometric information;
exchange the data encryption key with the external system; and
encrypt and decrypt information exchanged between the biometric patient application and the external system using the data encryption key.
25. The nontransitory computer readable medium of claim 21, wherein the biometric sensor includes a camera in the mobile device.
26. The nontransitory computer readable medium of claim 21, wherein the biometric sensor includes an external sensor configured to obtain at least one physiological measurement from a patient.
27. The nontransitory computer readable medium of claim 21, wherein the biometric information includes dynamic biometric information.
28. The nontransitory computer readable medium of claim 21, wherein the data exchanged between the patient and the health care provider includes a treatment recommendation from the health care provider.
29. The nontransitory computer readable medium of claim 21, wherein the data exchanged between the patient and the health care provider includes patient approval of a course of treatment.
30. The nontransitory computer readable medium of claim 21, wherein the data exchanged between the patient and the health care provider includes a simulated result of a treatment or procedure from the health care provider.
PCT/US2015/048731 2015-09-04 2015-09-04 Biometric medical information system including mobile application, scoring model and provider portal WO2017039704A1 (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019147955A1 (en) * 2018-01-25 2019-08-01 The Children's Hospital Of Philadelphia Biometric sensor device for digital quantitative phenotyping
CN110875087A (en) * 2018-09-03 2020-03-10 广州呼吸健康研究院 Chronic lung disease management system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110119075A1 (en) * 2009-10-02 2011-05-19 Rabin Chandra Kemp Dhoble Apparatuses, methods and systems for a mobile healthcare manager-based provider incentive manager
US20140156308A1 (en) * 2012-11-30 2014-06-05 Dacadoo Ag Automated Health Data Acquisition, Processing and Communication System

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110119075A1 (en) * 2009-10-02 2011-05-19 Rabin Chandra Kemp Dhoble Apparatuses, methods and systems for a mobile healthcare manager-based provider incentive manager
US20140156308A1 (en) * 2012-11-30 2014-06-05 Dacadoo Ag Automated Health Data Acquisition, Processing and Communication System

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019147955A1 (en) * 2018-01-25 2019-08-01 The Children's Hospital Of Philadelphia Biometric sensor device for digital quantitative phenotyping
US11887621B2 (en) 2018-01-25 2024-01-30 The Children's Hospital Of Philadelphia Biometric sensor device for digital quantitative phenotyping
CN110875087A (en) * 2018-09-03 2020-03-10 广州呼吸健康研究院 Chronic lung disease management system
CN110875087B (en) * 2018-09-03 2024-06-07 广州呼吸健康研究院 Chronic pulmonary disease management system

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