阅读说明：本技术 远程就诊方法、装置、设备及存储介质 (Remote diagnosis method, device, equipment and storage medium ) 是由 张海碧 康小龙 于 2020-09-10 设计创作，主要内容包括：本发明涉及大数据技术领域,应用于智慧城市的智慧医疗领域中,揭露了一种远程就诊方法、装置、设备及存储介质,该方法包括：接收用户端上传的患者症状信息,并对症状信息进行大数据分析,获得分析结果；根据分析结果生成就诊提示信息,并将就诊提示信息发送至用户端进行展示；在接收到基于就诊提示信息反馈的问诊预约指令时,根据问诊预约指令开启AR远程服务窗口。通过对患者发送的症状信息进行初步分析,为患者提供对应的就诊提示信息,从而引导患者进行就诊,对患者提供AR远程就诊服务,使得患者和医师可以得到全面的交流,使得患者无需前往医院就能得到全面的诊断。本申请还涉及区块链技术,远程就诊服务的信息可存储在区块链中。(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.)

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;

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.

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 visit method of claim 4, wherein the step of the receiving client determining the arrival of the user at the AR consultation room and opening the AR remote service window based on the verification information sent by the consultation code 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, wherein the step of receiving the patient symptom information uploaded by the user terminal and performing big data analysis on the symptom information to obtain the analysis result further comprises:

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.

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;

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.

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.

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.