CN116665920A - Health detection system for online diagnosis and treatment platform - Google Patents
Health detection system for online diagnosis and treatment platform Download PDFInfo
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- CN116665920A CN116665920A CN202310644466.4A CN202310644466A CN116665920A CN 116665920 A CN116665920 A CN 116665920A CN 202310644466 A CN202310644466 A CN 202310644466A CN 116665920 A CN116665920 A CN 116665920A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 189
- 238000001514 detection method Methods 0.000 title claims abstract description 19
- 239000003814 drug Substances 0.000 claims abstract description 30
- 229940079593 drug Drugs 0.000 claims abstract description 18
- 208000024891 symptom Diseases 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 17
- 238000011156 evaluation Methods 0.000 claims description 10
- 238000012790 confirmation Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 7
- 201000010099 disease Diseases 0.000 abstract description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 6
- 239000000284 extract Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000011505 plaster Substances 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
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- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- 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
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- 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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
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- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The application provides a health detection system for an online diagnosis and treatment platform, and relates to the technical field of medical treatment. The system firstly acquires patient information and online session content of a diagnosis and treatment platform, then acquires symptom description information and related problems according to the session content, sends the symptom description information and the related problems to the doctor diagnosis and treatment terminal, diagnoses and classifies the doctor according to the symptom description information and the related problems, matches corresponding diagnosis and treatment doctors for the patient according to different diagnosis and treatment classification results, combines the diagnosis and treatment schemes corresponding to the patient generated by the patient information and the patient case information, and finally acquires target medication information and sends the target medication information to the patient according to the diagnosis and treatment schemes, thereby realizing intelligent diagnosis and treatment and greatly improving the convenience of patient disease diagnosis and treatment.
Description
Technical Field
The application relates to the technical field of medical treatment, in particular to a health detection system for an online diagnosis and treatment platform.
Background
In the prior art, the treatment of diseases is generally carried out by adopting an offline diagnosis and treatment mode, the mode is low in efficiency, and high-quality medical and doctor resources are usually concentrated in high-level hospitals and economically developed areas due to the problems of economic development, uneven medical resource distribution and the like. And patients in remote areas cannot enjoy the high-quality medical resources or consume more financial resources, manpower and time cost for enjoying the high-quality medical resources.
Disclosure of Invention
The application aims to provide a health detection method and a system for an online diagnosis and treatment platform, which can realize intelligent diagnosis and treatment and greatly improve the convenience of patient disease diagnosis and treatment.
In order to solve the technical problems, the application adopts the following technical scheme:
the embodiment of the application provides a health detection system for an online diagnosis and treatment platform, which comprises the following components:
the information acquisition module is used for acquiring identity information of a user and online session content of the diagnosis and treatment platform; the extraction module is used for acquiring symptom description information and related problems according to the session content and sending the symptom description information and the related problems to the doctor diagnosis and treatment terminal; the doctor diagnosis and treatment terminal is used for carrying out diagnosis and treatment classification according to the symptom description information and related problems, and matching corresponding diagnosis and treatment doctors for patients according to different diagnosis and treatment classification results; the diagnosis and treatment scheme generation module is used for combining patient information with diagnosis and treatment schemes corresponding to patients generated by the patient case information by a diagnosis and treatment doctor; the medication module is used for acquiring target medication information in combination with the diagnosis and treatment scheme, sending the target medication information to a diagnosis and treatment doctor, and sending the target medication information to a user after the doctor confirms that the medication is correct or is modified and adjusted.
Further, the diagnosis and treatment scheme generating module is further configured to push patient information to an interface of a corresponding diagnosis and treatment doctor for confirmation, and if the confirmation fails, reselect the diagnosis and treatment doctor according to the priority ranking in the corresponding diagnosis and treatment doctor list.
Further, the doctor list includes:
acquiring historic treatment information, the medical doctor's duration, historic evaluation information, treatment cost information and geographical information of the medical doctor, setting corresponding feedback values, calculating corresponding weight values according to a preset algorithm, generating an evaluation value for each medical doctor according to the weight values, and establishing a medical doctor list according to the evaluation values.
Further, after the doctor diagnosis and treatment terminal matches the corresponding diagnosis and treatment doctor for the patient, an on-line diagnosis and treatment channel between the patient and the diagnosis and treatment doctor is established, diagnosis and treatment communication information between the user and the diagnosis and treatment doctor is acquired based on the on-line diagnosis and treatment channel, and the diagnosis and treatment communication information is stored.
Further, the diagnosis and treatment communication information of the user and the diagnosis and treatment doctor is stored in the storage module.
Further, the diagnosis and treatment scheme is pushed to a patient end, and is adjusted according to feedback information of the patient end, so that a target diagnosis and treatment scheme meeting the requirements of the patient is generated.
Compared with the prior art, the application has at least the following advantages or beneficial effects:
the embodiment of the application provides a health detection system for an online diagnosis and treatment platform, when the system is used, a patient needs to input own information on the online diagnosis and treatment platform, when the patient sends information describing physical symptoms and related problems on the online diagnosis and treatment platform, an extraction module extracts the information and sends the information to a doctor diagnosis and treatment terminal, and the doctor diagnosis and treatment terminal analyzes the symptom description information and the related problems, so that diagnosis and treatment classification is judged, and corresponding diagnosis and treatment doctors are matched for the patient. When the system pushes information of a patient to a corresponding diagnostician, if the diagnostician cannot dock with the patient due to work arrangement, the diagnostician can choose to reject the diagnosis, and meanwhile, the system also reselects a new diagnostician to dock with the patient according to priority ordering in a corresponding diagnostician list, so that humanization is realized. Meanwhile, the system establishes an on-line diagnosis and treatment channel between the patient and the diagnosis and treatment doctor, obtains diagnosis and treatment communication information of the user and the diagnosis and treatment doctor based on the on-line diagnosis and treatment channel, stores the information, avoids data loss when the on-line diagnosis and treatment channel is disconnected, is convenient for grasping case information of the patient in more detail, and provides more accurate and reliable support for generating a diagnosis and treatment scheme subsequently. After the diagnosis and treatment doctor combines the diagnosis and treatment scheme corresponding to the patient generated by the patient information and the patient case information, the diagnosis and treatment scheme is pushed to the patient end, and is adjusted according to the feedback information of the patient end, so that a target diagnosis and treatment scheme meeting the patient requirement is generated, the situation that the diagnosis and treatment scheme does not accord with the patient is avoided, wherein the medicine module acquires target medicine information by combining the target diagnosis and treatment scheme, sends the target medicine information to the diagnosis and treatment doctor, and sends the target medicine information to the user after the doctor confirms or modifies and adjusts, thereby realizing intelligent diagnosis and treatment, and greatly improving the convenience of patient disease diagnosis and treatment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram illustrating an embodiment of a health detection system for an on-line diagnostic platform according to the present application;
fig. 2 is a block diagram of a health detection system for an on-line diagnostic platform according to an embodiment of the present application.
Icon: 1. an information acquisition module; 2. an extraction module; 3. a doctor diagnosis and treatment terminal; 4. a diagnosis and treatment scheme generation module; 5. a medication module; 6. and a storage module.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The various embodiments and features of the embodiments described below may be combined with one another without conflict.
Examples
Referring to fig. 1, an embodiment of the present application provides a health detection system for an online diagnosis and treatment platform, which includes:
the information acquisition module 1 is used for acquiring identity information of a user and online session content of the diagnosis and treatment platform; the extraction module 2 is used for acquiring symptom description information and related problems according to session content and sending the symptom description information and the related problems to the doctor diagnosis and treatment terminal 3; the doctor diagnosis and treatment terminal 3 is used for performing diagnosis and treatment classification according to the symptom description information and related problems, and matching corresponding diagnosis and treatment doctors for patients according to different diagnosis and treatment classification results; the diagnosis and treatment scheme generation module 4 is used for combining patient information and a diagnosis and treatment scheme corresponding to the patient generated by the patient case information by a diagnosis and treatment doctor; the medication module 5 is used for acquiring target medication information in combination with the diagnosis and treatment scheme, sending the target medication information to a diagnosis and treatment doctor, and sending the target medication information to a user after the doctor confirms that the medication is correct or is modified and adjusted.
When the health detection system for the online diagnosis and treatment platform is used, a patient needs to input own information on the online diagnosis and treatment platform, when the patient sends information describing physical symptoms and related problems on the online diagnosis and treatment platform, the extraction module 2 extracts the information and sends the information to the doctor diagnosis and treatment terminal 3, the doctor diagnosis and treatment terminal 3 analyzes the symptom describing information and the related problems, further judges the classification of diagnosis and treatment, further matches the corresponding diagnosis and treatment doctor for the patient, the diagnosis and treatment doctor combines the diagnosis and treatment scheme of the patient generated by the patient information and the patient case information, further avoids misdiagnosis, the diagnosis and treatment scheme is pushed to the patient end, the target diagnosis and treatment scheme meeting the patient requirement is generated according to the feedback information of the patient end, and the situation that the diagnosis and treatment scheme does not accord with the patient is avoided, wherein the medicine module 5 acquires the target medicine information in combination with the target diagnosis and treatment scheme and sends the target medicine information to the diagnosis and treatment doctor, and sends the diagnosis and treatment doctor after confirmation or modification, the diagnosis and treatment doctor is used for realizing intelligent diagnosis and treatment, and treatment of the convenience of the patient disease is greatly improved.
In some embodiments of the present application, the diagnosis and treatment scheme generating module 4 is further configured to push patient information to an interface of a corresponding diagnosis and treatment physician for confirmation, and if the confirmation fails, reselect the diagnosis and treatment physician according to the priority ranking in the corresponding diagnosis and treatment physician list.
When the system pushes patient information to the physician's end, the physician has the right to reject the diagnosis. If the doctor has more cases or other factors cannot be docked with the patient, the doctor can choose to reject the diagnosis, and the doctor and the patient have two-way selection rights, so that the occurrence of a later doctor-patient relationship is avoided and reduced. Meanwhile, the system also reselects new diagnosis and treatment doctors to be docked with the patient according to the priority order in the corresponding diagnosis and treatment doctor list, so that the system is very humanized.
In some embodiments of the application, the list of medical practitioners includes:
acquiring historic treatment information, the medical doctor time of the operation, historic evaluation information and treatment cost information of the medical doctor, setting corresponding feedback values, calculating corresponding weight values according to a preset algorithm, generating an evaluation value for each medical doctor according to the weight values, and establishing a medical doctor list according to the evaluation values.
The diagnosis and treatment doctor list is established according to doctor history treatment information, diagnosis and treatment doctor time, history evaluation information, treatment cost information and the like, so that more specialized doctor services can be provided for patients.
In some embodiments of the present application, after the doctor diagnosis terminal 3 matches the patient with the corresponding diagnosis and treatment doctor, an on-line diagnosis and treatment channel between the patient and the diagnosis and treatment doctor is established, and diagnosis and treatment communication information between the user and the diagnosis and treatment doctor is acquired and stored based on the on-line diagnosis and treatment channel.
After the doctor diagnosis terminal 3 matches the corresponding diagnosis and treatment doctor with the patient, an on-line diagnosis and treatment channel of the patient and the diagnosis and treatment doctor is established, the diagnosis and treatment channel carries out data transmission through a communication module, the communication module preferentially carries out data transmission in a 5G frequency band, two can realize that the diagnosis and treatment doctor receives the case information of the patient timely, synchronous on-line communication with the patient can be realized, diagnosis efficiency is improved, and the doctor diagnosis and treatment terminal 3 stores the communication content to avoid losing the data content after the diagnosis and treatment channel is disconnected.
Referring to fig. 2, in some embodiments of the present application, the diagnosis and treatment communication information between the user and the diagnosing physician is stored in the storage module 6.
Considering that the diagnosis and treatment communication information of the user and the diagnosis and treatment doctor may be lost when the diagnosis and treatment channel is disconnected, when the diagnosis and treatment channel is reconnected, the doctor is likely to forget the content of the previous communication, and the diagnosis and treatment detection time is greatly increased, so that the system comprises the storage module 6, the storage module 6 stores the communication information of the user and the diagnosis and treatment doctor in real time, the patient case information can be mastered in more detail, and more accurate and reliable support is provided for the follow-up generation of the diagnosis and treatment scheme.
In some embodiments of the present application, the diagnosis and treatment scheme is pushed to the patient end, and is adjusted according to feedback information of the patient end, so as to generate a target diagnosis and treatment scheme meeting the requirements of the patient.
After the diagnosis and treatment scheme corresponding to the patient is generated by the diagnosis and treatment scheme generating module 4, the diagnosis and treatment scheme is sent to the patient end, and the generated diagnosis and treatment scheme is considered to be not necessarily suitable for the patient, for example, the diagnosis and treatment scheme proposes that the patient needs plaster, but the patient cannot plaster due to working reasons, the diagnosis and treatment scheme needs to be adjusted according to feedback information of the patient end, for example, the diagnosis and treatment scheme is changed into corresponding medicine smearing treatment, and the like, so that the system is more humanized.
In summary, in the health detection system for an online diagnosis and treatment platform provided by the embodiment of the application, when the system is used, a patient needs to input own information on the online diagnosis and treatment platform, when the patient sends information describing physical symptoms and related problems on the online diagnosis and treatment platform, the extraction module 2 extracts the information and sends the information to the doctor diagnosis and treatment terminal 3, and the doctor diagnosis and treatment terminal 3 analyzes the symptom description information and the related problems, so as to judge diagnosis and treatment classification, and further match the patient with a corresponding diagnosis and treatment doctor. When the system pushes information of a patient to a corresponding diagnostician, if the diagnostician cannot dock with the patient due to work arrangement, the diagnostician can choose to reject the diagnosis, and meanwhile, the system also reselects a new diagnostician to dock with the patient according to priority ordering in a corresponding diagnostician list, so that humanization is realized. Meanwhile, the system establishes an on-line diagnosis and treatment channel between the patient and the diagnosis and treatment doctor, obtains diagnosis and treatment communication information of the user and the diagnosis and treatment doctor based on the on-line diagnosis and treatment channel, stores the information, avoids data loss when the on-line diagnosis and treatment channel is disconnected, is convenient for grasping case information of the patient in more detail, and provides more accurate and reliable support for generating a diagnosis and treatment scheme subsequently. After the diagnosis and treatment doctor combines the diagnosis and treatment scheme corresponding to the patient generated by the patient information and the patient case information, the diagnosis and treatment scheme is pushed to the patient end, and is adjusted according to the feedback information of the patient end, so that a target diagnosis and treatment scheme meeting the patient requirement is generated, the situation that the diagnosis and treatment scheme does not accord with the patient is avoided, wherein the medicine module 5 acquires target medicine information by combining the target diagnosis and treatment scheme, sends the target medicine information to the diagnosis and treatment doctor, and sends the target medicine information to the user after the doctor confirms or modifies and adjusts, thereby realizing diagnosis and treatment intellectualization and greatly improving the convenience of diagnosis and treatment of the patient diseases.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. A health detection system for an online diagnostic platform, comprising:
the information acquisition module is used for acquiring patient information and online session content of the diagnosis and treatment platform;
the extraction module is used for acquiring symptom description information and related problems according to the session content and sending the symptom description information and the related problems to the doctor diagnosis and treatment terminal;
the doctor diagnosis and treatment terminal is used for carrying out diagnosis and treatment classification according to the symptom description information and related problems, and matching corresponding diagnosis and treatment doctors for patients according to different diagnosis and treatment classification results;
the diagnosis and treatment scheme generation module is used for combining patient information with diagnosis and treatment schemes corresponding to patients generated by the patient case information by a diagnosis and treatment doctor;
the medication module is used for acquiring target medication information in combination with the diagnosis and treatment scheme, sending the target medication information to a diagnosis and treatment doctor, and sending the target medication information to a user after the doctor confirms that the medication is correct or is modified and adjusted.
2. The health detection system for an online diagnostic platform according to claim 1, wherein the diagnostic plan generation module is further configured to push patient information to an interface of a corresponding medical practitioner for confirmation, and if the confirmation fails, re-select the medical practitioner according to the priority ranking in the corresponding medical practitioner list.
3. A health detection system for an online diagnostic platform according to claim 2, wherein the list of medical practitioners comprises:
acquiring historic treatment information, the medical doctor's duration, historic evaluation information, treatment cost information and geographical information of the medical doctor, setting corresponding feedback values, calculating corresponding weight values according to a preset algorithm, generating an evaluation value for each medical doctor according to the weight values, and establishing a medical doctor list according to the evaluation values.
4. The health detection system for an on-line diagnosis and treatment platform according to claim 1, wherein after the doctor diagnosis and treatment terminal matches the patient with the corresponding diagnosis and treatment doctor, an on-line diagnosis and treatment channel between the patient and the diagnosis and treatment doctor is established, diagnosis and treatment communication information between the user and the diagnosis and treatment doctor is acquired based on the on-line diagnosis and treatment channel, and the diagnosis and treatment communication information is stored.
5. The health detection system for an on-line diagnostic platform as set forth in claim 4, wherein the diagnostic communication information between the user and the diagnosing physician is stored in the memory module.
6. The health detection system for an online diagnosis and treatment platform according to claim 1, wherein the diagnosis and treatment scheme is pushed to a patient end and adjusted according to feedback information of the patient end, so as to generate a target diagnosis and treatment scheme meeting the requirements of the patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310644466.4A CN116665920A (en) | 2023-06-02 | 2023-06-02 | Health detection system for online diagnosis and treatment platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310644466.4A CN116665920A (en) | 2023-06-02 | 2023-06-02 | Health detection system for online diagnosis and treatment platform |
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| Publication Number | Publication Date |
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| CN116665920A true CN116665920A (en) | 2023-08-29 |
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| CN202310644466.4A Pending CN116665920A (en) | 2023-06-02 | 2023-06-02 | Health detection system for online diagnosis and treatment platform |
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- 2023-06-02 CN CN202310644466.4A patent/CN116665920A/en active Pending
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