CN111798997B - Remote diagnosis method, device, equipment and storage medium - Google Patents
Remote diagnosis method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of big data, is applied to the field of intelligent medical treatment of intelligent cities, and discloses a remote treatment method, a device, equipment and a storage medium, wherein the method comprises the following steps: receiving patient symptom information uploaded by a user side, and performing big data analysis on the symptom information to obtain an analysis result; generating a diagnosis prompt message according to the analysis result, and sending the diagnosis prompt message to a user side for displaying; and when an inquiry appointment instruction based on the visit prompt information feedback is received, opening an AR remote service window according to the inquiry appointment instruction. The symptom information sent by the patient is preliminarily analyzed, and the corresponding treatment prompt information is provided for the patient, so that the patient is guided to treat the patient, AR remote treatment service is provided for the patient, the patient and a doctor can be comprehensively communicated, and the patient can be comprehensively diagnosed without going to a hospital. The application also relates to blockchain technology, and information of the remote visit service can be stored in the blockchain.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a remote treatment method, a device, equipment and a storage medium.
Background
The medical treatment is difficult to see and is a common problem in the medical industry at home and abroad at present. The rapid rise of the internet + in recent years, and at the same time, the world is also in vigorous development of internet hospitals. Therefore, the online inquiry and classified diagnosis of the internet hospitals are the future trend certainly, and the method is a method capable of well solving the problem of difficult medical examination. The mode not only can solve the problems that patients are difficult to see a doctor, need to be arranged for a long time for seeing a doctor, are difficult to register and the like, but also can well relieve the insufficient pressure of medical resources such as a hospital and the like. Thereby realizing the doctor seeing the disease with the health of the small doctor and the doctor seeing the disease with the third doctor.
Although remote diagnosis is a good medical treatment mode, the remote inquiry mode in the market at present generally refers to inquiry diagnosis through network, APP message leaving, video and the like, and the problems of untimely communication, untimely feedback, unclear inquiry and the like exist in the area; meanwhile, the patient can have ambiguity in the aspect of word expression, so that the patient cannot communicate well. When doctors communicate through characters, the information which can be obtained is limited, and accurate diagnosis cannot be well made. Meanwhile, doctors cannot know the information of medical records and examination reports of patients, and the doctor is influenced to confirm the diseases.
In addition, due to the factors of regions, resources, economic conditions and the like, many patients cannot enjoy high-quality medical conditions in other cities (including home and abroad). Even in cities, people cannot well enjoy the benefits of high-quality medical treatment due to the lack of medical resources.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a remote treatment method, a device, equipment and a storage medium, and aims to solve the technical problem that the remote treatment information is limited in the prior art.
In order to achieve the above object, the present invention provides a remote medical treatment method, which comprises:
receiving patient symptom information uploaded by a user side, and performing big data analysis on the symptom information to obtain an analysis result;
generating a diagnosis prompt message according to the analysis result, and sending the diagnosis prompt message to the user side for displaying;
and when an inquiry appointment instruction based on the visit prompt information feedback is received, opening an AR remote service window according to the inquiry appointment instruction.
Preferably, the step of receiving the patient symptom information uploaded by the user side, and performing big data analysis on the symptom information to obtain an analysis result specifically includes:
receiving patient symptom information uploaded by a user side, and extracting keywords from the patient symptom information to obtain symptom keywords;
inquiring corresponding to-be-selected disease information in the artificial intelligent medical big data according to the symptom keywords;
when the matching degree between the to-be-selected disease information and the patient symptom information is larger than or equal to a preset matching degree, taking the to-be-selected disease information as target disease information;
and taking the target disease information as an analysis result.
Preferably, the step of generating a visit prompt message according to the analysis result and sending the visit prompt message to the user side for display includes:
acquiring and determining a target disease category according to the target disease information;
acquiring target department information according to the target disease category, and acquiring information of a doctor according to the target department information;
and generating a diagnosis prompt message according to the target department information and the information of the doctor, and sending the diagnosis prompt message to the user side for displaying.
Preferably, the step of opening an AR remote service window according to the inquiry appointment instruction when receiving the inquiry appointment instruction fed back based on the visit prompt information includes:
receiving an inquiry appointment instruction based on the visit prompt information feedback;
when the inquiry appointment instruction is an AR online inquiry instruction, sending an inquiry code and target position information of an AR inquiry room to a user side;
and receiving verification information sent by the user side based on the inquiry code, determining that the user arrives at an AR inquiry room according to the verification information, and starting an AR remote service window.
Preferably, the step of determining that the user arrives at the AR consulting room and opening the AR remote service window by the receiving user side based on the verification information sent by the inquiry code includes:
receiving verification information sent by a user side based on the inquiry code;
acquiring current position information of the user side according to the verification information;
and matching the target position information with the current position information, and starting an AR remote service window when the target position information is the same as the position information.
Preferably, after the step of generating a visit prompt message according to the analysis result and sending the visit prompt message to the user side for display, the method further includes:
when a video online inquiry instruction fed back by a user side based on the visit prompt information is received, transmitting information of a doctor to be booked to the user side;
when a first appointment instruction fed back by a user side based on the information of the doctor to be appointed is received, acquiring the current working state of the doctor to be appointed according to the first appointment instruction;
when the current working state is an idle state, establishing communication connection between a target client and the client, and starting a video online diagnosis window based on the communication connection, wherein the target client is a client corresponding to the doctor to be reserved;
and when the current working state is a busy state, analyzing the waiting time length according to the current working state, and sending the waiting time length to the user side for displaying.
Preferably, before the step of receiving the patient symptom information uploaded by the user side, and performing big data analysis on the symptom information to obtain an analysis result, the method further includes:
receiving a user health file sent by a user side, and carrying out sensitive vocabulary detection on the user health file;
correcting a sensitive field in the user health record according to a detection result;
encrypting the corrected user health file to generate an encrypted health file, and uploading the encrypted health file to a block chain server;
after the step of opening the AR remote service window according to the inquiry appointment instruction when the inquiry appointment instruction based on the visit prompt information feedback is received, the method further comprises the following steps:
receiving medical record information and prescription information input by a client, encrypting the medical record information and the prescription information to generate a medical record encrypted file, and uploading the medical record encrypted file to a block chain server.
In addition, in order to achieve the above object, the present invention further provides a remote medical treatment apparatus, including: the analysis module is used for receiving the patient symptom information uploaded by the user side and carrying out big data analysis on the symptom information to obtain an analysis result;
the prompting module is used for generating a diagnosis prompting message according to the analysis result and sending the diagnosis prompting message to the user side for displaying;
and the reservation module is used for starting an AR remote service window according to the inquiry reservation instruction when receiving the inquiry reservation instruction fed back based on the visit prompt information.
In addition, to achieve the above object, the present invention further provides a remote medical treatment apparatus, including: a memory, a processor, and a remote procedure stored on the memory and executable on the processor, the remote procedure configured to implement the steps of the remote procedure as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having a remote medical procedure stored thereon, wherein the remote medical procedure, when executed by a processor, implements the steps of the remote medical procedure as described above.
The method comprises the steps of receiving patient symptom information uploaded by a user side, and carrying out big data analysis on the symptom information to obtain an analysis result; generating a diagnosis prompt message according to the analysis result, and sending the diagnosis prompt message to the user side for displaying; and when an inquiry appointment instruction based on the visit prompt information feedback is received, opening an AR remote service window according to the inquiry appointment instruction. This scheme belongs to wisdom medical treatment field, can promote the construction in wisdom city through this scheme. The diagnosis prompting information corresponding to the symptoms of the patient is obtained by preliminarily analyzing the symptom information sent by the patient, the patient is guided to carry out selection of a diagnosis mode and selection of a doctor and time of diagnosis by the diagnosis prompting information, and when an inquiry appointment instruction sent by the patient is received, AR remote diagnosis service is provided for the patient, so that the patient and the doctor can obtain comprehensive communication, the patient can obtain comprehensive diagnosis without going to a hospital, diagnosis efficiency of the doctor is improved, and diagnosis experience of the patient is improved.
Drawings
FIG. 1 is a schematic diagram of a remote medical device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a remote medical examination method according to a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a remote medical examination method according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart of a remote medical examination method according to a third embodiment of the present invention;
fig. 5 is a block diagram of the remote medical examination apparatus according to the first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a remote medical examination device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the remote medical treatment apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not intended to be limiting of the remote medical-treatment device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a remote medical procedure.
In the remote medical-treatment device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the remote medical treatment apparatus of the present invention may be provided in the remote medical treatment apparatus, and the remote medical treatment apparatus calls the remote medical treatment program stored in the memory 1005 through the processor 1001 and executes the remote medical treatment method provided by the embodiment of the present invention.
An embodiment of the present invention provides a remote medical treatment method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the remote medical treatment method according to the present invention.
In this embodiment, the remote medical treatment method includes the following steps:
step S10: and receiving the patient symptom information uploaded by the user side, and performing big data analysis on the symptom information to obtain an analysis result.
It is easy to understand that the execution main body of the embodiment of the invention is a server side with a remote visit function.
It should be noted that the user side can be the intelligent terminals such as the PC end, cell-phone, panel computer, intelligent wrist-watch, intelligent bracelet that the patient used, and the user passes through the user side inputs patient symptom information. The patient symptom information may include: the duration of the patient's illness (time, duration, or duration of each episode), patient symptoms, patient identity information, patient underlying conditions (e.g., what chronic disease the patient has had in addition to current symptoms), and the like.
Further, the step S10 specifically includes: receiving patient symptom information uploaded by a user side, and extracting keywords from the patient symptom information to obtain symptom keywords; inquiring corresponding to-be-selected disease information in the artificial intelligent medical big data according to the symptom keywords; when the matching degree between the to-be-selected disease information and the patient symptom information is larger than or equal to a preset matching degree, taking the to-be-selected disease information as target disease information; and taking the target disease information as an analysis result.
It is easy to understand that the patient symptom information is language information describing the symptoms of the patient, the description mode is more biased to spoken language, and keyword extraction is needed for the preliminary diagnosis of the symptom information. For example: the patient described symptom information was: feel uncomfortable in throat, sneeze and dizziness from monday. Extracting the keywords as follows: the symptoms of throat, sneezing and dizziness are analyzed, a keyword 'Monday' about the symptom time is obtained, the duration of the symptoms of the patient is deduced to be N days according to the time, and the information of the symptoms to be selected is inquired in the big data according to the keyword and the duration days.
It should be understood that if the symptom information given by the patient is not detailed enough, which results in excessive acquired information of the disease to be selected, the information of the disease to be selected is sent to the user side, so that the user side can select the target disease; or sending a question of the symptoms to be selected to the user side, so that the user side supplements the symptom information to narrow the range of the symptoms to be selected.
It is easy to understand that the matching degree can be 80% to 100%, and the patient symptom information can include picture information, sound information and text information. For example: the patient skin is allergic, and the patient shoots own skin to upload the photo, and be equipped with written information: and (4) inquiring the artificial intelligent medical big data according to keywords in the picture information and the character information when the skin becomes red rash and pruritus. To preliminarily confirm target disorder information of the patient.
Step S20: and generating a diagnosis prompt message according to the analysis result, and sending the diagnosis prompt message to the user side for displaying.
It is easy to understand that the visit prompt message may include department information, physician information corresponding to the department, work time information of the physician, visit experience information of the physician, and the like. After receiving the information, the user can select a treatment mode, treatment time and treatment physicians according to the self requirements.
Further, to achieve the above object, step S20 specifically includes: acquiring and determining a target disease category according to the target disease information; acquiring target department information according to the target disease category, and acquiring information of a doctor according to the target department information; and generating a diagnosis prompt message according to the target department information and the information of the doctor, and sending the diagnosis prompt message to the user side for displaying.
It is easy to understand that after the patient obtains the visit prompt information, different inquiry modes such as video online inquiry, reservation AR (Augmented Reality) online inquiry, reservation registration and the like can be selected.
Step S30: and when an inquiry appointment instruction based on the visit prompt information feedback is received, opening an AR remote service window according to the inquiry appointment instruction.
It should be noted that, if the user selects to use the AR remote inquiry method for medical treatment, since the user end does not necessarily have the corresponding AR device, the user needs to go to the AR inquiry room, and if the user has the AR device meeting the inquiry condition, the user can use the AR device for medical treatment.
Further, for the purpose of remote medical treatment, the step S30 specifically includes: receiving an inquiry appointment instruction based on the visit prompt information feedback; when the inquiry appointment instruction is an AR online inquiry instruction, sending an inquiry code and target position information of an AR inquiry room to a user side; and receiving verification information sent by the user side based on the inquiry code, determining that the user arrives at an AR inquiry room according to the verification information, and starting an AR remote service window.
It is easy to understand that when the user end sends the inquiry appointment instruction, the server end determines the location of the user according to the identity information filled by the user, and allocates a corresponding AR inquiry room to the user nearby. Meanwhile, the server side informs the user when the user needs to go to the AR inquiry room, and the AR inquiry room has position information. The inquiry code is an inquiry number or a two-dimensional code.
Further, the step of determining that the user arrives at the AR consultation room and opening an AR remote service window by the receiving user side based on the verification information sent by the consultation code specifically includes: receiving verification information sent by a user side based on the inquiry code; acquiring current position information of the user side according to the verification information; and matching the target position information with the current position information, and starting an AR remote service window when the target position information is the same as the position information.
It is easy to understand that, the user edits verification information based on the inquiry code and sends the verification information to the server, the server is informed of the current location of the server, if the current location information of the user is in the range of the AR inquiry room, it is judged that the user has arrived at the AR inquiry room, and a remote service window of the AR inquiry room is opened. And establishing communication connection between the AR inquiry room and a client corresponding to the doctor, so that the doctor can inquire the user based on an AR mode.
In a specific implementation, after the patient arrives at the AR interrogation room, face-to-face communication can be made with the physician in the AR interrogation room through a professional 5G + AR device and system. Meanwhile, doctors can open various examination and test orders on line, so that patients can directly finish examination and test projects in an AR consulting room, and do not need to make appointment and queue in hospitals to carry out examination and test, and the time of patients for seeing a doctor is saved. Meanwhile, all examination and inspection reports, medical records, prescription lists and the like of the patients are uploaded to a block chain server of the data center, and the purposes of safety and traceability are achieved. After the patient takes the prescription, he or she may choose to take the medication directly at the AR consulting room or express the medication directly to home through the drug supplier. After being decocted, a medicine supplier like traditional Chinese medicine sends the decoction to home by express delivery, which is very convenient for patients. Meanwhile, in the express delivery process, all express delivery tracks are uploaded to the block chain server. Meanwhile, the medicine taking cabinet is put in a community, when a patient is inconvenient to take medicine, the medicine is put in the medicine cabinet, and the patient can take the medicine through AI face recognition or an addressee verification code.
It should be understood that, based on the remote visit method of the present embodiment, when the patient has a serious illness and needs hospitalization or surgery. The doctor can make an appointment in hospital through the visiting system. After the appointment is successful, the patient can go to the superior or the remote hospital to be hospitalized for operation at the time point, so that the trouble that the patient runs back and forth is avoided. Or when the patient can not meet the treatment requirement in the local hospital, the doctor can initiate a request for referral to a superior hospital, and when the superior hospital receives the request, the physician can immediately coordinate resources to send out an ambulance to take the patient. Thereby reducing the running wave of the patient on the road and improving the patient experience of seeing a doctor.
The symptom information that this embodiment sent through the patient carries out preliminary analysis, obtains the suggestion information of seeing a doctor that the symptom of patient corresponds, through the suggestion information of seeing a doctor guides the patient to carry out the selection of the mode of seeing a doctor and the selection of doctor of seeing a doctor, the time of seeing a doctor, when accepting the inquiry reservation instruction that the patient sent, provide the long-range service of seeing a doctor of AR to the patient, make patient and doctor can obtain comprehensive interchange, make the patient need not to go to the hospital and just can obtain comprehensive diagnosis, doctor's efficiency of diagnosing has been accelerated, the experience of seeing a doctor of patient has been promoted. This scheme can be used in wisdom medical treatment field, can promote the construction in wisdom city through this scheme.
Referring to fig. 3, fig. 3 is a flowchart illustrating a remote medical examination method according to a second embodiment of the present invention.
Based on the first embodiment described above, in the present embodiment, the step S20 includes:
after step S20, the method further includes:
step S301: and when a video online inquiry instruction fed back by the user side based on the visit prompt information is received, transmitting the information of the doctor to be booked to the user side.
It is easy to understand that the user does not necessarily go to the AR consulting room conveniently, so besides the AR consulting mode, the user can also see a doctor in a video mode by using the user side in the assistant. And after receiving the video online inquiry instruction, sending the information of the current reserved doctors to the user side.
It is easy to understand that the doctor information to be reserved is more detailed, and the doctor who can make the reservation currently in the working state can make the reservation because the visit prompt information already contains the doctor information.
Step S302: and when a first appointment instruction fed back by the user side based on the information of the doctor to be appointed is received, acquiring the current working state of the doctor to be appointed according to the first appointment instruction.
In specific implementation, doctors to be reserved are different in busy degree, and based on the intention of a user, a doctor currently selected by the user may be in a busy state, and the current working state of the doctor to be reserved needs to be acquired. For example: the information of the doctor to be reserved is as follows: expert number: a king doctor; the general number is as follows: plum doctors, Hua doctors; if the user has a higher requirement on the diagnosis, the user can select the expert number for making an appointment, but the user needs to queue up if the number of the expert number is less and the number of the patients who want to be registered with the special number is more.
Step S303: and when the current working state is an idle state, establishing communication connection between a target client and the client, and starting a video online diagnosis window based on the communication connection, wherein the target client is a client corresponding to the doctor to be reserved.
It is easy to understand that if the doctor is currently in the idle state, the patient can initiate the inquiry after selecting the doctor for inquiry, and after the doctor receives the inquiry, the information of the patient filled before the patient is in the doctor's workstation, so that the doctor can know the current state of the patient.
Step S304: and when the current working state is a busy state, analyzing the waiting time length according to the current working state, and sending the waiting time length to the user side for displaying.
It should be noted that the waiting time duration analysis is obtained according to the historical work information of the doctor to be reserved, so as to obtain the average time for the doctor to be reserved to ask for a patient, estimate the waiting time duration of the patient according to the number of the currently queued patients, and send the waiting time duration to the user terminal for display. For example: the patient has reserved expert number king doctor, and king doctor's number of consulting every hour is 6 to 10, and the patient still has 7 to queue in front of the patient, expects that the patient needs to wait for a period of time of 42 minutes to 70 minutes. And sending the waiting time to a user side for displaying.
The embodiment provides remote video treatment service for the user through the method, solves the problem that the patient cannot enjoy high-quality medical resources, and improves the experience of the patient in the treatment process. Meanwhile, the medical cost of the patient is reduced in the process of seeing a doctor, the back and forth running of the patient is reduced, the patient can see the doctor without going out of home, and the efficiency of seeing the doctor is improved. This scheme can be used in wisdom medical treatment field, can promote the construction in wisdom city through this scheme.
Referring to fig. 4, fig. 4 is a flowchart illustrating a remote medical examination method according to a third embodiment of the present invention.
Based on the foregoing embodiments, in this embodiment, before the step S10, the method further includes:
step S101: and receiving the user health file sent by the user side, and carrying out sensitive vocabulary detection on the user health file.
It should be understood that the user health profile sent by the user terminal contains personal privacy information of the user, and part of the vocabulary is biased to be spoken, and part of the information needs sensitive vocabulary modification.
Step S102: and correcting the sensitive field in the user health record according to the detection result.
It should be understood that according to the detection result of the sensitive vocabulary, the sensitive field corresponding to the sensitive vocabulary in the user health record is obtained, and the sensitive field is modified through artificial intelligence without affecting the content of the user health record.
Step S103: and encrypting the corrected user health file to generate an encrypted health file, and uploading the encrypted health file to a block chain server.
In specific implementation, a user can upload own historical medical records, inspection reports, prescription documents and the like to a privately-deployed block chain server in a data center through a user side, and subsequently, doctors, medicine suppliers and the like can inquire the medical records or the prescription documents of patients through requesting authorization and authorization. The block chain servers can be uniformly deployed to a centralized data center, so that the data security can be greatly improved.
After step S30, the method further includes:
step S40: receiving medical record information and prescription information input by a client, encrypting the medical record information and the prescription information to generate a medical record encrypted file, and uploading the medical record encrypted file to a block chain server.
It should be noted that, after the doctor completes the diagnosis and treatment of the patient, the doctor can make medical records and prescriptions through the client. And after the issued medical records, prescriptions, medical orders and the like are checked by other doctors or pharmacists and the like, the system automatically uploads the data to the block chain server to ensure the authenticity and traceability of the data. If medical disputes occur subsequently, it is the most strong evidence for protecting doctors and patients.
It should be understood that medical record information and prescription information prescribed by a doctor to a patient include patient privacy information, the medical record information and the prescription information also belong to confidential information of a hospital, and the information is encrypted, so that the confidentiality of the information of the hospital, the patient and the doctor can be ensured.
The health file input by the user, medical record information input by the doctor and prescription information are encrypted and stored in the block chain server, authenticity and traceability of data are guaranteed, safety of the data is improved, historical diagnosis information is prevented from being lost, the doctor can diagnose the patient more comprehensively according to the historical diagnosis information, and medical experience of the patient is improved. This scheme can be used in wisdom medical treatment field, can promote the construction in wisdom city through this scheme.
Furthermore, an embodiment of the present invention further provides a storage medium, where the storage medium stores a remote medical procedure, and the remote medical procedure, when executed by a processor, implements the steps of the remote medical method as described above.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of the remote medical examination apparatus according to the present invention.
As shown in fig. 5, the remote medical apparatus according to the embodiment of the present invention includes:
the analysis module 501 is configured to receive patient symptom information uploaded by a user side, and perform big data analysis on the symptom information to obtain an analysis result;
the prompting module 502 is configured to generate a visit prompting message according to the analysis result, and send the visit prompting message to the user side for display;
the reservation module 503 is configured to, when receiving an inquiry reservation instruction fed back based on the visit prompt information, open an AR remote service window according to the inquiry reservation instruction.
This implementation is through carrying out preliminary analysis to the symptom information that the patient sent, obtains the suggestion information of seeing a doctor that the symptom of patient corresponds, through the suggestion information of seeing a doctor guides the patient to carry out the selection of the mode of seeing a doctor and the selection of doctor of seeing a doctor, the time of seeing a doctor, when the inquiry reservation instruction that the patient sent is received, provide the long-range service of seeing a doctor of AR to the patient, make patient and doctor can obtain comprehensive interchange, make the patient need not to go to the hospital and just can obtain comprehensive diagnosis, doctor's efficiency of diagnosing has been accelerated, the experience of seeing a doctor of having promoted the patient.
Based on the above-mentioned first embodiment of the remote medical examination device of the present invention, a second embodiment of the remote medical examination device of the present invention is proposed.
In this embodiment, the analysis module 501 is further configured to receive patient symptom information uploaded by a user side, and perform keyword extraction on the patient symptom information to obtain a symptom keyword; inquiring corresponding to-be-selected disease information in the artificial intelligent medical big data according to the symptom keywords; when the matching degree between the to-be-selected disease information and the patient symptom information is larger than or equal to a preset matching degree, taking the to-be-selected disease information as target disease information; and taking the target disease information as an analysis result.
Further, the prompt module 502 is further configured to obtain and determine a target disease category according to the target disease information; acquiring target department information according to the target disease category, and acquiring information of a doctor according to the target department information; and generating a diagnosis prompt message according to the target department information and the information of the doctor, and sending the diagnosis prompt message to the user side for displaying.
Further, the appointment module 503 is further configured to receive an inquiry appointment instruction based on the visit prompt information feedback; when the inquiry appointment instruction is an AR online inquiry instruction, sending an inquiry code and target position information of an AR inquiry room to a user side; and receiving verification information sent by the user side based on the inquiry code, determining that the user arrives at an AR inquiry room according to the verification information, and starting an AR remote service window.
Further, the reservation module 503 is further configured to receive verification information sent by the user side based on the inquiry code; acquiring current position information of the user side according to the verification information; and matching the target position information with the current position information, and starting an AR remote service window when the target position information is the same as the position information.
Further, the appointment module 503 is further configured to send information of a physician to be booked to the user terminal when receiving a video online inquiry instruction fed back by the user terminal based on the visit prompt information; when a first appointment instruction fed back by a user side based on the information of the doctor to be appointed is received, acquiring the current working state of the doctor to be appointed according to the first appointment instruction; when the current working state is an idle state, establishing communication connection between a target client and the client, and starting a video online diagnosis window based on the communication connection, wherein the target client is a client corresponding to the doctor to be reserved; and when the current working state is a busy state, analyzing the waiting time length according to the current working state, and sending the waiting time length to the user side for displaying.
Further, the analysis module 501 is further configured to receive a user health profile sent by a user side, and perform sensitive vocabulary detection on the user health profile; correcting a sensitive field in the user health record according to a detection result; encrypting the corrected user health file to generate an encrypted health file, and uploading the encrypted health file to a block chain server;
further, the analysis module 501 is further configured to receive medical record information and prescription information input by a client, encrypt the medical record information and the prescription information to generate a medical record encrypted file, and upload the medical record encrypted file to a blockchain server.
Other embodiments or specific implementation manners of the remote medical examination device of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to perform the remote medical treatment method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A remote medical treatment method, comprising:
receiving patient symptom information uploaded by a user side, and performing big data analysis on the symptom information to obtain an analysis result;
generating a diagnosis prompt message according to the analysis result, and sending the diagnosis prompt message to the user side for displaying so that the user can select a diagnosis mode, a diagnosis time and a doctor;
when an inquiry appointment instruction based on the visit prompt information feedback is received, starting an AR remote service window according to the inquiry appointment instruction;
the information of the medical treatment prompt at least comprises department information, doctor information corresponding to departments, working time information of doctors and medical treatment experience information of the doctors;
the opening of the AR remote service window according to the inquiry appointment instruction comprises the following steps:
determining the location of a user, distributing a corresponding AR inquiry room for the user, and informing the user of the position information of the AR inquiry room;
before the step of receiving the patient symptom information uploaded by the user side, and performing big data analysis on the symptom information to obtain an analysis result, the method further comprises the following steps:
receiving a user health file sent by a user side, and carrying out sensitive vocabulary detection on the user health file;
correcting a sensitive field in the user health record according to a detection result;
and encrypting the corrected user health file to generate an encrypted health file, and uploading the encrypted health file to a block chain server.
2. The remote medical consultation method according to claim 1, wherein the step of receiving the patient symptom information uploaded by the user terminal and analyzing the big data of the symptom information to obtain the analysis result includes:
receiving patient symptom information uploaded by a user side, and extracting keywords from the patient symptom information to obtain symptom keywords;
inquiring corresponding to-be-selected disease information in the artificial intelligent medical big data according to the symptom keywords;
when the matching degree between the to-be-selected disease information and the patient symptom information is larger than or equal to a preset matching degree, taking the to-be-selected disease information as target disease information;
and taking the target disease information as an analysis result.
3. The remote medical examination method as claimed in claim 2, wherein the step of generating a medical examination prompt message according to the analysis result and sending the medical examination prompt message to the user terminal for displaying comprises:
acquiring and determining a target disease category according to the target disease information;
acquiring target department information according to the target disease category, and acquiring information of a doctor according to the target department information;
and generating a diagnosis prompt message according to the target department information and the information of the doctor, and sending the diagnosis prompt message to the user side for displaying.
4. The remote diagnosis method according to claim 1, wherein the step of opening an AR remote service window according to the inquiry booking instruction upon receiving the inquiry booking instruction fed back based on the diagnosis prompt information comprises:
receiving an inquiry appointment instruction based on the visit prompt information feedback;
when the inquiry appointment instruction is an AR online inquiry instruction, sending an inquiry code and target position information of an AR inquiry room to a user side;
and receiving verification information sent by the user side based on the inquiry code, determining that the user arrives at an AR inquiry room according to the verification information, and starting an AR remote service window.
5. The remote medical examination method of claim 4, wherein the step of the receiving user end determining the arrival of the user at the AR consultation room according to the verification information sent by the consultation code and opening the AR remote service window comprises:
receiving verification information sent by a user side based on the inquiry code;
acquiring current position information of the user side according to the verification information;
and matching the target position information with the current position information, and starting an AR remote service window when the target position information is the same as the position information.
6. The remote medical examination method as claimed in claim 1, wherein after the step of generating a medical examination prompt message according to the analysis result and sending the medical examination prompt message to the user terminal for display, the method further comprises:
when a video online inquiry instruction fed back by a user side based on the visit prompt information is received, transmitting information of a doctor to be booked to the user side;
when a first appointment instruction fed back by a user side based on the information of the doctor to be appointed is received, acquiring the current working state of the doctor to be appointed according to the first appointment instruction;
when the current working state is an idle state, establishing communication connection between a target client and the client, and starting a video online diagnosis window based on the communication connection, wherein the target client is a client corresponding to the doctor to be reserved;
and when the current working state is a busy state, analyzing the waiting time length according to the current working state, and sending the waiting time length to the user side for displaying.
7. The remote medical examination method as claimed in any one of claims 1 to 6,
after the step of opening the AR remote service window according to the inquiry appointment instruction when the inquiry appointment instruction based on the visit prompt information feedback is received, the method further comprises the following steps:
receiving medical record information and prescription information input by a client, encrypting the medical record information and the prescription information to generate a medical record encrypted file, and uploading the medical record encrypted file to a block chain server.
8. A remote medical treatment apparatus, comprising:
the analysis module is used for receiving the patient symptom information uploaded by the user side and carrying out big data analysis on the symptom information to obtain an analysis result;
the prompting module is used for generating a diagnosis prompting message according to the analysis result and sending the diagnosis prompting message to the user side for displaying so that a user can select a diagnosis mode, diagnosis time and a doctor;
the reservation module is used for starting an AR remote service window according to the inquiry reservation instruction when receiving the inquiry reservation instruction fed back based on the visit prompt information;
the information of the medical treatment prompt at least comprises department information, doctor information corresponding to departments, working time information of doctors and medical treatment experience information of the doctors;
wherein, the opening of the AR remote service window according to the inquiry reservation instruction comprises:
determining the location of a user, distributing a corresponding AR inquiry room for the user, and informing the user of the position information of the AR inquiry room;
the analysis module is also used for receiving the user health file sent by the user side and detecting sensitive words and phrases of the user health file;
correcting a sensitive field in the user health record according to a detection result;
and encrypting the corrected user health file to generate an encrypted health file, and uploading the encrypted health file to a block chain server.
9. A remote encounter apparatus, said apparatus comprising: a memory, a processor, and a remote procedure stored on the memory and executable on the processor, the remote procedure being configured to implement the steps of the remote procedure method of any one of claims 1 to 7.
10. A storage medium having stored thereon a remote procedure, the remote procedure being executed by a processor to carry out the steps of the remote procedure method according to any one of claims 1 to 7.
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| CN113782178A (en) * | 2021-01-29 | 2021-12-10 | 北京京东拓先科技有限公司 | Method, device, equipment and storage medium for on-line treatment |
| CN112927774A (en) * | 2021-03-11 | 2021-06-08 | 全链通有限公司 | Remote diagnosis and treatment system and operation method thereof |
| CN113113157A (en) * | 2021-04-16 | 2021-07-13 | 浙江蕙康科技有限公司 | Internet hospital high-precision online diagnosis and treatment system convenient for elderly users to use |
| CN113192652A (en) * | 2021-04-22 | 2021-07-30 | 广州中康数字科技有限公司 | Doctor inquiry system based on intelligent mobile terminal and inquiry method thereof |
| CN113436723A (en) * | 2021-06-23 | 2021-09-24 | 康键信息技术（深圳）有限公司 | Video inquiry method, device, equipment and storage medium |
| CN114628046B (en) * | 2022-03-14 | 2023-04-28 | 青岛市中心医院 | Intelligent medical system based on intelligent community and implementation method |
| CN115662657B (en) * | 2022-10-31 | 2024-02-02 | 海南星捷安科技集团股份有限公司 | Online inquiry system based on internet hospital |
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