CN116386792A - Method for issuing inspection bill and virtual wearable device system - Google Patents
Method for issuing inspection bill and virtual wearable device system Download PDFInfo
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Abstract
The application provides a method for issuing an inspection sheet and a virtual wearable device system, wherein the method comprises the following steps: the first client enters a working state, a voice interaction function is started, the first client sends out voice interaction release information, and the first client collects voice interaction input information from the outside; generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information; the second client generates a check list according to the pre-diagnosis report and sends the check list to the first client; the first client presents the checklist. The method and the device help the patient to rapidly and accurately open the examination list before the face diagnosis of the doctor, and improve the efficiency and quality of the inquiry.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a method for issuing an inspection bill and a virtual wearable device system for realizing the method.
Background
When a patient goes to a hospital for treatment, a doctor usually needs to make a relevant examination list after the doctor performs the surface treatment, and then the doctor performs further diagnosis according to the examination result, so that the patient needs to reserve, register and queue, and a great amount of time is wasted; on the other hand, doctors take a large number of patients, and especially some patients can frequently inquire about problems irrelevant to diseases or symptoms or repeated inquiry part problems, so that the workload of the doctors is high, fatigue and other conditions can be brought, and the diagnosis effect and efficiency are affected. If the examination list can be rapidly and accurately opened, the doctor can diagnose according to the examination result, and the outpatient service efficiency can be greatly improved.
As a new form in the field of medical services, "internet+medical", has been explored in various fields such as registration settlement, remote diagnosis and treatment, and counseling. The intelligent inquiry is a specific embodiment of the Internet and medical health, but in the related technology, the intelligent inquiry has the following problems: in general, after a patient is first diagnosed by an intelligent inquiry, a doctor issues an examination order, so that the effect of improving the diagnosis and treatment efficiency of an outpatient service is very poor.
Disclosure of Invention
The invention aims to provide a method for issuing an inspection sheet and a virtual wearable device system, which can help a patient to quickly and accurately acquire the inspection sheet after registering, improve the inquiry efficiency and quality, and simultaneously, can virtually simulate the diagnosis and treatment environment and improve the utilization rate of the patient.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for issuing an inspection sheet, comprising the steps of:
the first client enters a working state, a voice interaction function is started, and the first client sends out voice interaction release information;
the first client acquires voice interaction input information from the outside;
5, generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information;
the second client generates a check list according to the pre-diagnosis report and sends the check list to the first client;
the first client presents the checklist.
Preferably, the method generates a pre-diagnosis report according to the voice interaction release information and the voice interaction input information,
it may be done at the first client and/or the second client, or part of the work may be done at the first client, and part 0 of the work may be done at the second client.
Preferably, the first client may be a device capable of presenting virtual pictures, such as VR, AR or the like,
preferably, a virtual inquiry screen may be presented.
Preferably, the second client may be a PC-side, a mobile client, etc., such as a web-side, an APP, a software client, etc.
5, preferably, the method further comprises:
performing natural language understanding and processing on the audio signal of the acquired voice interaction input information, and performing voice recognition on the voice interaction input information to convert the voice interaction input information into text information;
and extracting key information in the sentence according to the generated text information.
More preferably, the "speech recognition" may support mandarin chinese and dialects, or portions of dialects.
0 is preferable, wherein the "generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information
Notice ", comprising the steps of:
extracting first information from voice interaction input information;
performing system action decision on the received first information according to a preset dialogue strategy;
and receiving a system action decision, and mapping the system action into sentences.
5 is preferable, in the method, the decision model and the knowledge graph are determined through a Bayesian network, and the voice interaction is performed according to
The method comprises the steps of publishing information and voice interaction input information, performing main body migration, determining to execute corresponding system actions, mapping the system action decisions into sentences, and publishing through a first client.
Preferably, in the method, key information in the voice interaction release information is identified, and keyword extraction and splicing processing are performed from voice interaction input information according to the key information, so as to obtain the first information.
Preferably, in the method, a disease model database is constructed or provided, and through a Bayesian network decision model and a knowledge graph, key information and key words in the release information and the voice interaction input information are related to the disease model database according to voice interaction, and disease model options with expected matching degree are selected from the disease model database.
More preferably, the disease model options include selectable options of various diseases, and corresponding weights are given to key information and keywords in the voice interaction release information and the voice interaction input information; and selecting disease model options for the expected match according to the weights.
More preferably, a database of examination items is constructed or provided, the associated examination items are screened in the database of examination items according to the disease model options, and a pre-diagnosis report is entered.
More preferably, the method of the present invention comprises:
constructing an inspection item database associated with diseases and inspection items, and storing an association matrix of the diseases and the inspection items in the inspection item database;
and matching the disease model options with the incidence matrix so as to screen associated examination items.
Further, the method further comprises:
extracting second information from the voice interaction input information, judging whether the screened associated check item exists in the second information according to the second information (such as the checked item), and deleting the content existing in the second information from the screened associated check item if the screened associated check item exists;
and/or
Judging whether the screened associated checking items store valid historical data, if so, deleting the content existing in the historical database from the screened associated checking items;
and/or
Third information (such as age, special illness, special crowd, etc.) is extracted from the voice interaction input information, the inspection item database is associated with the third information, and inspection items (such as items unsuitable for inspection) associated with the third information are deleted from the screened associated inspection items according to the third information.
Preferably, after the second client receives the pre-diagnosis report, the auditing module is activated manually or automatically, and the auditing module identifies the activation options and decides whether to give permission to generate the check list according to the activation options.
Preferably, the method further comprises: and generating supplementary voice interaction sending information under the condition that the permission of generating the check list cannot be given in response to the instruction from the second client, sending the supplementary voice interaction sending information to the first client for carrying out supplementary voice interaction, and generating a pre-diagnosis report again according to the received supplementary voice interaction input information and sending the pre-diagnosis report to the second client.
In a second aspect, the present invention provides a virtual wearable device system, comprising: the system comprises a first user side, a second user side, a virtual inquiry module, a pre-diagnosis report generation module, a pre-diagnosis report transmission module and an inspection sheet generation module; the virtual inquiry module provides a voice interaction function, and sends out voice interaction release information through the first client, and acquires voice interaction input information acquired from the outside through the first client, wherein the virtual inquiry module comprises:
the natural language understanding and processing module is used for carrying out natural language understanding and processing on the acquired audio signals of the voice interaction input information;
the voice recognition module is used for acquiring voice data in the voice interaction input information and converting the voice data into text information;
the pre-diagnosis report generation module is used for automatically generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information;
the pre-diagnosis report transmission module is used for providing the generated pre-diagnosis report to a second client and receiving a check list generated by the second client;
the second client is used for receiving the pre-diagnosis report and collecting and generating the examination order;
and the examination list generation module is used for generating the examination list according to the pre-diagnosis report.
It should be understood that the voice interaction release information may be one or more of voice, text, picture, and video information.
Preferably, the virtual inquiry module may be located at the first client and/or the second client, or partially located at the first client, and partially located at the second client.
Preferably, the first client may be a device capable of presenting a virtual screen, such as a VR, AR, etc., and preferably may present a virtual inquiry screen.
Preferably, the second client may be a PC-side, a mobile client, etc., such as a web-side, an APP, a software client, etc.
Preferably, the natural language understanding and processing module includes: a natural language understanding sub-module, a dialogue management sub-module and a natural language generation sub-module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the natural language understanding sub-module is used for extracting first information from voice interaction input information;
the dialogue management sub-module is used for making a system action decision on the received first information content according to a preset dialogue strategy;
the natural language generation sub-module is used for receiving the system action decision output by the dialogue management sub-module and mapping the system action into sentences.
Preferably, the voice recognition module includes: a voice receiving sub-module and a voice-to-text sub-module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the voice receiving sub-module is used for receiving voice information in voice interaction input information;
the voice-to-text sub-module is used for converting voice signals into text characters, for example, can support Mandarin and dialects or partial dialects.
Preferably, the virtual inquiry module performs main body migration according to the voice interaction release information and the voice interaction input information through a Bayesian network decision model and a knowledge graph, decides to execute corresponding system actions, maps the system action decisions into sentences, and releases the sentences through the first client.
Preferably, the virtual inquiry module identifies key information in the voice interaction release information, and the pre-diagnosis report generation module extracts keywords from voice interaction input information according to the key information for splicing.
Preferably, the virtual wearable device system further comprises a disease model database, and the virtual inquiry module is connected to the disease model database according to key information and key words in the voice interaction release information and the voice interaction input information through a Bayesian network decision model and a knowledge graph, and selects disease model options with expected matching degree from the disease model database.
More preferably, in the disease model data, weights are given to each of key information and keywords in the voice interaction release information and the voice interaction input information, and disease model options of an expected matching degree are selected according to the weights.
More preferably, the virtual wearable device system further comprises an inspection item database, the inspection item database is associated with the disease model database, and the pre-diagnosis report generation module screens the inspection item database for associated inspection items according to disease model options and enters a pre-diagnosis report.
More preferably, the association matrix of the disease and the examination item is stored in the examination item database; and matching the disease model options with the incidence matrix so as to screen associated examination items.
Preferably, the natural language understanding sub-module is configured to extract second information from the voice interaction input information, and the pre-diagnosis report generating module determines whether the screened associated inspection item exists in the second information according to the second information (for example, the inspected item), and if so, deletes the content existing in the second information from the screened associated inspection item;
and/or
The virtual wearable device system further comprises a history database, the pre-diagnosis report generation module judges whether the screened associated check items store valid history data, and if so, the content existing in the history database is deleted from the screened associated check items;
and/or
The natural language understanding sub-module is used for extracting third information (such as age, special diseases, special crowds and the like) from the voice interaction input information, the examination item database is associated with the third information, and the pre-diagnosis report generating module deletes examination items (such as items unsuitable for examination) associated with the third information from the screened associated examination items according to the third information.
Preferably, the virtual wearable device system further includes an audit module, and when the second client receives the pre-diagnosis report, the audit module is activated manually or automatically, and the audit module identifies the activation option and decides whether to give permission to generate the check list according to the activation option.
Preferably, the virtual wearable device system further comprises a supplementary consultation module, which is used for generating supplementary voice interaction sending information and sending the supplementary voice interaction sending information to the first client for supplementary voice interaction under the condition that the authority of generating the check list cannot be given.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects: the application provides a method for issuing an inspection bill and a virtual wearable device system, wherein after a first client enters a working state, a voice interaction function is started, the first client sends voice interaction release information, and the first client collects voice interaction input information from the outside; the first client side and/or the second client side generates a pre-diagnosis report according to the voice interaction release information and the voice interaction input information, the pre-diagnosis report provides items to be checked for the patient, and when the items to be checked in the pre-diagnosis report are confirmed by the second client side, a check list can be automatically generated. According to the method and the device, a three-dimensional virtual diagnosis and treatment environment can be constructed, intelligent pre-consultation is realized through the virtual wearable equipment system, a patient is helped to rapidly and accurately open an examination order before face diagnosis of a doctor, and the efficiency and quality of the consultation are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the application and are not to be construed as limiting the application. In the drawings:
fig. 1 is a schematic structural view of a virtual wearable device according to an embodiment of the present invention;
fig. 2 is a schematic structural view of a virtual inquiry unit in a virtual wearable device according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method of issuing a checklist in accordance with an embodiment of the present invention;
fig. 4 is a schematic flow chart of an application scenario in which a check list is opened according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and more obvious, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It is noted that the terms "first," "second," and the like in the description and claims of the present invention and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order, and it is to be understood that the data so used may be interchanged where appropriate. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the related art, when a patient is in a hospital, a doctor in the hospital usually needs to make a related examination list after the patient is in a face diagnosis, and then the doctor further diagnoses the illness state of the patient according to the examination result, so that a corresponding treatment scheme is formulated for the patient, and a great deal of time is wasted.
In order to solve the technical problems, the invention provides a solution which can help a patient to rapidly and accurately open an examination list before face diagnosis of a doctor and improve the efficiency and quality of inquiry.
Example 1
The embodiment of the invention provides a virtual wearable device system, which comprises: the system comprises a first user side, a second user side, a virtual inquiry module, a pre-diagnosis report generation module, a pre-diagnosis report transmission module and a check list generation module.
The first client may be a device capable of displaying a virtual screen, such as VR, AR, and the like, and preferably may display a virtual inquiry screen. The second client is used for receiving the pre-diagnosis report and collecting and generating the examination order, and the second client can be a PC (personal computer) end, a mobile client and the like, such as a webpage end, an APP (application), a software client and the like.
The virtual inquiry module provides a voice interaction function, and sends out voice interaction release information through the first client, and acquires voice interaction input information acquired from the outside through the first client, wherein the voice interaction release information can be one or more of voice, characters, pictures and video information.
The pre-diagnosis report generation module is used for automatically generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information.
The pre-diagnosis report transmission module is used for providing the generated pre-diagnosis report to a second client and receiving a check list generated by the second client.
The examination order generation module is used for generating the examination order according to the pre-diagnosis report.
The virtual inquiry module may be located at the first client and/or the second client, or partially located at the first client and partially located at the second client.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a virtual wearable device according to an embodiment of the present invention, which is equivalent to a first client. In this embodiment, the second client is a doctor end (or referred to as a doctor table).
The virtual wearable device of the embodiment of the invention comprises: VR eyeshade 10, virtual inquiry unit 20, pre-diagnosis report generating unit 30, and pre-diagnosis report transmitting unit 40. The VR eyeshade 10 is configured to display a three-dimensional virtual diagnosis and treatment image, where the image includes a virtual doctor; the virtual inquiry unit 20 is configured to acquire inquiry data; the pre-diagnosis report generating unit 30 is configured to automatically generate a pre-diagnosis report according to the voice interaction information of the patient and the virtual doctor, where the pre-diagnosis report includes an item to be checked; the pre-diagnosis report transmission unit 40 is configured to send the generated pre-diagnosis report to a doctor and receive an examination order from the doctor.
In this embodiment, as shown in fig. 2, the virtual inquiry unit 20 includes: a natural language understanding and processing module 201, a speech recognition module 202, and an intelligent inquiry module 203.
Wherein the natural language understanding and processing module 201 is configured to perform natural language understanding and processing on audio signals of the patient and the virtual doctor. The natural language understanding and processing module 201 includes a natural language understanding sub-module, a dialogue management sub-module, and a natural language generation sub-module.
Specifically, the natural language understanding sub-module is configured to extract disease information from utterances of the patient and the virtual doctor, where the disease information generally includes complaints, current medical history, family history, and the like. Complaints, i.e. the patient describes the main causes of the visit, such as discomfort and pain; the present medical history, i.e. the main part of the medical history, includes the whole process of occurrence, development and evolution of diseases; family history, i.e., the health of the relevant members of the patient family, etc.
For example, the questions of "where you are bad", "where/how uncomfortable", "what questions you have" and the answer content of the patient are extracted, and the symptoms and signs are extracted to form a main complaint, which may be limited to one-sentence two.
For example, extracting temporal information, including time of onset, duration, node time (treatment time, surgery time, etc.); extracting symptom information including location, radiation area, frequency of onset, single duration, intensity, pain sensation, and accompanying symptoms; extracting pathogenesis reasons and inducements; extracting treatment information including medication, dosage, medication time and curative effect; patient state information is extracted, including mental state, weight change, sleep, diet, and bowel movement. The above forms an actual medical history.
For another example, family history such as physical status of parents, siblings, spouse, whether there is infectious disease, genetic disease, cancer history, etc., is extracted, which forms family history.
Specifically, the session management sub-module is configured to perform, through interaction between the virtual doctor and the patient, subject migration on the received session content according to a preset session policy, and determine a next system action to be performed, for example, detailed inquiry of the corresponding symptoms can be performed according to symptom descriptions of different patients.
Specifically, the natural language generation sub-module is configured to receive the system action selection output by the dialog management sub-module, and map the system action into a sentence.
The voice recognition module 202 is configured to obtain voice data of the patient and convert the voice data into text information. The speech recognition module 202 includes: the voice receiving sub-module and the voice-to-text sub-module.
Specifically, the voice receiving sub-module is configured to receive voice information of a patient.
Specifically, the voice-to-text sub-module is configured to convert a voice signal into text characters, and support mandarin and a part of dialects.
Wherein, the intelligent inquiry module 203 is configured to simulate doctor inquiry. The intelligent inquiry module 203 simulates doctor inquiry through a Bayesian network decision model and a knowledge graph, and generates different inquiry problems according to different patient feedback information, so that the intelligent inquiry model has reasoning capability.
Specifically, different problems can be generated according to different characteristics of the sex, the age, the main discomfort and the like of the patient, and the information of the patient is comprehensively collected in a guiding mode, wherein the information mainly comprises the onset time, the symptom position, the property, the clinical manifestation, the predisposition, the past medical history, the allergy history, the family medical history and the recent medication and examination condition.
In a preferred embodiment, the doctor terminal further comprises an auditing module for auditing the received pre-diagnosis report. The virtual wearable device further comprises a supplementary consultation unit which is used for generating supplementary questions, carrying out supplementary consultation, generating a pre-consultation report again according to the supplementary information of the patient and sending the pre-consultation report to a doctor side.
For example, when the pre-diagnosis report is generated by the pre-diagnosis report generating unit 30, the generated pre-diagnosis report is transmitted to the doctor side through the pre-diagnosis report transmitting unit 40, the doctor side auditing module is activated manually or automatically, the auditing module recognizes the activation option, and decides whether to give authority to generate the examination order according to the activation option. After the auditing treatment, the auditing module generates a message and sends the message to the virtual wearable equipment, wherein the message comprises auditing state information of the pre-diagnosis report. The virtual wearable device judges the auditing state, and when the auditing state is failed under the condition that the authority for generating the checking list cannot be given, the supplementary inquiry unit of the virtual wearable device can continue to generate the supplementary problem to perform supplementary voice interaction.
Example 2
As shown in fig. 3, a flowchart of a method for issuing a check list in an embodiment of the present invention is provided, and the method for issuing a check list is applied to a first client and a second client according to an embodiment of the present invention. The first client may be a device capable of displaying a virtual screen, such as VR, AR, and the like, and preferably may display a virtual inquiry screen. The second client is used for receiving the pre-diagnosis report and collecting and generating the examination order, and the second client can be a PC (personal computer) end, a mobile client and the like, such as a webpage end, an APP (application), a software client and the like. In this embodiment, the first client is a virtual wearable device, and the second client is a doctor (or called a doctor table).
A method for issuing an inspection sheet specifically comprises the following steps S1 to S5:
step S1, a first client enters a working state and starts a voice interaction function.
Step S2, the first client collects the input voice information.
The first client simulates doctor inquiry through a Bayesian network decision model and a knowledge graph reasoning technology, and generates different inquiry problems according to different patient feedback information, so that the intelligent inquiry model has reasoning capability. Different problems can be generated according to different characteristics of the sex, the age, the main discomfort and the like of the patient, and the information of the patient is comprehensively collected in a guiding mode, wherein the information mainly comprises the onset time, symptom parts, properties, clinical manifestations, causes, past medical history, allergic history, family medical history and recent medication and examination conditions.
And S3, generating a pre-diagnosis report according to the collected voice information.
The first client (or the second client) performs keyword extraction (that is, performs voice recognition on the voice information to generate text information, determines the intention of a sentence according to the generated text information, and extracts key information in the sentence) and splicing processing according to the collected voice information to obtain disease information, where the disease information may include information such as a main complaint, an actual medical history, a family history, and the like.
And inputting the disease information into a preset disease diagnosis model for analysis to obtain an analysis result, wherein the analysis result comprises possible diseases. Wherein the disease diagnosis model includes selectable items of a plurality of diseases, and disease information is given a corresponding weight to each of the selectable items. After receiving the disease information, the first client (or the second client) judges according to weights given to the selectable items by the disease information, and selects one selectable item as an output analysis result. That is, the possible disease is obtained by a disease diagnosis model, the disease diagnosis model is combined with a disease knowledge graph and a symptom knowledge graph to judge the disease, if a plurality of judgment results are obtained, the judgment of comprehensive weight is carried out by a differential diagnosis method according to the information such as the individual history, family history and the like of the symptom and the patient, so that an analysis result is obtained.
And the first client (or the second client) matches the analysis result with the examination item incidence matrix in the database to obtain a pre-diagnosis report comprising the items to be examined.
In this embodiment, the item to be checked in the pre-diagnosis report is specifically obtained through the following steps:
1) Constructing an inspection item database associated with diseases and inspection items, and storing an association matrix of the diseases and the inspection items in the inspection item database.
2) And matching the analysis result with the incidence matrix to obtain a recommended item to be checked.
3) Judging the repeated parts of the illness information and the recommended items to be checked, and deleting the repeated parts in the final recommended result; and/or the database stores historical data, judges the repeated parts of the historical data and the recommended items to be checked, and deletes the repeated parts in the final recommended result. For example, the patient is removed from what has been done recently based on the inquiry data and the health record.
4) And selecting second information from the illness information for marking, storing a second item to be checked corresponding to the second information in the database, and deleting the second item to be checked from the final recommended result. In one embodiment, the patients are classified into normal patients and special patients, and the special patients include pregnant women, elderly people, patients with severe respiratory diseases, etc., and these special patients cannot be subjected to certain examinations, so that these special patients are marked, and the above second information may be expressed as the special patients, and the relevant unsuitable examination items are removed from among the examination items prescribed for the special patients.
It should be noted that, the step S3 may be performed at the first client or may be performed at the second client. For example, when the first client is a virtual wearable device, the above processing procedure of generating the pre-diagnosis report may be completed at the virtual wearable device, or the collected voice information may be sent to the doctor end, and the doctor end processes the collected voice information and generates the pre-diagnosis report.
And S4, the second client generates a check list according to the pre-diagnosis report and sends the check list to the first client.
After the pre-diagnosis report is generated, the pre-diagnosis report is sent to a second client for auditing, and after auditing, auditing state information is generated, wherein the auditing state information comprises that auditing is passed and auditing is not passed. If the auditing state is that the auditing is passed, the second client generates an inspection sheet and sends the inspection sheet to the first client; if the auditing state is that the auditing is not passed, the second client side does not generate an examination order.
Step S5, the first client displays the check list.
After the first client receives the examination sheet sent from the second client, the examination sheet can be displayed to the patient according to the operation instruction of the patient.
In a preferred embodiment, the method further comprises: and when the auditing state is that the auditing is failed, the first client side continuously generates a supplementary problem, carries out supplementary voice interaction with the patient, and generates a pre-diagnosis report again according to the received supplementary voice interaction information and sends the pre-diagnosis report to the second client side for auditing.
The embodiment also shows an application scenario of the technical solution of the present invention, in which, assuming that the first client is a virtual wearable device, based on the unit module included in the virtual wearable device in embodiment 1, the application scenario is described in detail below (see fig. 4):
first, the patient wears virtual wearing equipment.
When the virtual wearing equipment enters a working state, a three-dimensional virtual diagnosis and treatment picture is provided, a virtual doctor is arranged in the picture, and the virtual doctor is provided with a driving engine for understanding and processing voice natural language, voice recognition, intelligent inquiry and the like, so that intelligent voice conversation can be carried out with a patient.
Second, the patient has an intelligent voice dialogue with the virtual doctor.
For example, a virtual doctor interacts with the patient in voice and performs information gathering:
virtual doctor: do you please ask about Zhang san? (name)
Patient: for each pair.
Virtual doctor: is the wedding 35 years old, is it? (age)
Patient: is true. (wedding no)
Virtual doctor: how uncomfortable? (Master complaints)
Patient: the doctor takes the meal from the outside in the last week, and after returning, the doctor can take the bellybutton and pull the bellybutton. (Master complaints)
Virtual doctor: is the bellyband painful for a few days? Is the stomach pulled for several days? (history-symptoms, time)
Patient: the patient begins to feel pain after eating dinner bellybutton on Saturday, and begins to pull bellybutton on the next day in the first morning, and the bellybutton is pulled for three days and two days. (history-symptoms, time)
Virtual doctor: is pain when not pressed? (history-symptom site)
Patient: pain.
Virtual doctor: is what is the medication taken? (medical history-administration, dosage and efficacy)
Patient: the montmorillonite powder is eaten for two days, three times a day, and has no effect.
Virtual doctor: is there a gastrointestinal disorder previously? (past history)
Patient: i have previously obtained too chronic enteritis. (past history)
And thirdly, keyword extraction and splicing processing are carried out on the voice information, and diseased information is obtained.
For example, for the example above, after a smart inquiry, the disease information is generated as follows:
patient identity data: name three, age 35, married.
Complaints: the user can get rid of the pain of the abdomen after eating the meal, and pull the abdomen.
The current medical history: the bellyband pain is caused by bellyband, the bellyband pain is caused by bellyband for 3 days, the bellyband pain is caused by bellyband for 2 days, and the effect is not seen when the montmorillonite powder is taken for 2 days.
Past history of: enteritis.
Family history: and no.
Fourth, a pre-diagnosis report is generated.
And inputting the disease information into a preset disease diagnosis model for analysis to obtain an analysis result, wherein the analysis result comprises possible diseases. If there are multiple possible diseases, the method of differential diagnosis is used to judge the comprehensive weight according to the information of symptoms, personal history, family history and the like of the patient, and one possible disease is selected as an analysis result.
And matching the analysis result with related inspection items in the database to obtain recommended items to be inspected. And removing the examination which has been done recently according to the inquiry data and the health record.
Judging whether the mark of the special patient exists or not, if so, removing relevant unsuitable examination items from the to-be-examined items prescribed for the special patient.
The content of the pre-diagnosis report comprises information such as main complaints, current medical history, family history, possible diseases, to-be-checked items and the like.
Fifth, the virtual wearable device sends the generated pre-diagnosis report to a doctor end (doctor workbench).
Sixth, the doctor end (doctor workbench) carries out auditing on the item to be checked.
After receiving the pre-diagnosis report, the doctor can select to pass or reject the examination by reading the pre-diagnosis report. If the examination is selected to pass, the examination item to be checked in the pre-examination report is confirmed, and at the moment, an examination sheet is opened for the patient to carry out subsequent payment operation and examination of related items; if the rejection is selected, the doctor end does not issue an examination order for the patient, and the process ends. If doctor chooses refusal, virtual wearing
The device can provide supplementary consultation for the patient, the patient can answer according to the supplementary consultation, and after answering again, the virtual 5 wearable device can generate a pre-diagnosis report again and push the pre-diagnosis report to a doctor end for pre-examination.
In summary, the three-dimensional virtual diagnosis and treatment environment is constructed by the above scheme, and after the intelligent inquiry function is executed, a pre-diagnosis report can be automatically generated, wherein the pre-diagnosis report comprises main complaints, current medical history, family history, possible diseases, to-be-checked items and the like, and when the to-be-checked items in the pre-diagnosis report are confirmed by a doctor side, the pre-diagnosis report can be automatically generated
The examination list is formed, the function of rapidly and accurately opening the examination list meeting the requirement 0 for diagnosing and treating the diseases of the patient for the patient before the doctor performs the facial diagnosis is realized, the inquiry efficiency and quality are improved, and the doctor-patient relationship is optimized. At the same time, adopt virtual imitation
The true diagnosis and treatment environment improves the utilization rate of patients.
The above description of the specific embodiments of the present invention has been given by way of example only, and the present invention is not limited to the above described specific embodiments. Any person skilled in the art will be able to carry out the invention
Equivalent modifications and substitutions of (a) are intended to be within the scope of the present invention. Accordingly, equivalent changes and modifications are intended to be included within the scope of the present invention, without departing from the spirit and scope of the present invention as defined by claim 5.
Claims (14)
1. A method of issuing a checklist, comprising:
the first client enters a working state, a voice interaction function is started, and the first client sends out voice interaction release information;
the first client acquires voice interaction input information from the outside;
generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information;
the second client generates a check list according to the pre-diagnosis report and sends the check list to the first client;
the first client presents the checklist.
2. The method of claim 1, wherein the generating the pre-diagnosis report is performed at the first client and/or the second client, or is performed at the first client partially, or is performed at the second client partially, according to the voice interaction distribution information and the voice interaction input information.
3. The method for issuing a checklist as claimed in claim 1, wherein the generating a pre-diagnosis report based on the voice interaction issuing information and the voice interaction inputting information comprises the steps of:
extracting first information from voice interaction input information;
performing system action decision on the received first information according to a preset dialogue strategy;
and receiving a system action decision, and mapping the system action into sentences.
4. The method of issuing a checklist of claim 1, the method further comprising: constructing or providing a disease model database, and according to the key information and the key words in the voice interaction release information and the voice interaction input information, associating the key information and the key words with the disease model database and selecting disease model options with expected matching degree from the disease model database through a Bayesian network decision model and a knowledge graph.
5. The method of claim 4, wherein the disease model options include options for a plurality of diseases, and wherein the key information and keywords in the voice interaction release information and the voice interaction input information are given corresponding weights; and selecting disease model options for the expected match according to the weights.
6. The method of issuing a checklist of claim 4, further comprising:
constructing an inspection item database associated with diseases and inspection items, and storing an association matrix of the diseases and the inspection items in the inspection item database;
and matching the disease model options with the incidence matrix so as to screen associated examination items.
7. The method of issuing a checklist of claim 6, further comprising:
extracting second information from the voice interaction input information, judging whether the screened associated check items exist in the second information according to the second information, and deleting the content existing in the second information from the screened associated check items if the screened associated check items exist in the second information;
and/or
Judging whether the screened associated checking items store valid historical data, if so, deleting the content existing in the historical database from the screened associated checking items;
and/or
And extracting third information from the voice interaction input information, wherein the inspection item database is associated with the third information, and deleting the inspection item associated with the third information from the screened associated inspection items according to the third information.
8. The method of claim 1, wherein after the second client receives the pre-diagnosis report, the audit module is activated manually or automatically, and the audit module identifies the activation option and determines whether to grant permission to generate the checklist based on the activation option.
9. The method of issuing a checklist of claim 8, the method further comprising: and generating supplementary voice interaction sending information under the condition that the permission of generating the check list cannot be given in response to the instruction from the second client, sending the supplementary voice interaction sending information to the first client for carrying out supplementary voice interaction, and generating a pre-diagnosis report again according to the received supplementary voice interaction input information and sending the pre-diagnosis report to the second client.
10. Virtual wearable device system, characterized by comprising: the system comprises a first user side, a second user side, a virtual inquiry module, a pre-diagnosis report generation module, a pre-diagnosis report transmission module and an inspection sheet generation module; the virtual inquiry module provides a voice interaction function, and sends out voice interaction release information through the first client, and acquires voice interaction input information acquired from the outside through the first client, wherein the virtual inquiry module comprises:
the natural language understanding and processing module is used for carrying out natural language understanding and processing on the acquired audio signals of the voice interaction input information;
the voice recognition module is used for acquiring voice data in the voice interaction input information and converting the voice data into text information;
the pre-diagnosis report generation module is used for automatically generating a pre-diagnosis report according to the voice interaction release information and the voice interaction input information;
the pre-diagnosis report transmission module is used for providing the generated pre-diagnosis report to a second client and receiving a check list generated by the second client;
the second client is used for receiving the pre-diagnosis report and collecting and generating the examination order;
and the examination list generation module is used for generating the examination list according to the pre-diagnosis report.
11. The virtual wearable device system of claim 10, further comprising a disease model database, wherein the virtual inquiry module correlates to the disease model database and selects disease model options of expected matching degree from the disease model database according to key information and keywords in the voice interaction release information and the voice interaction input information through a bayesian network decision model and a knowledge graph.
12. The virtual wearable device system of claim 11, further comprising an inspection item database associated with the disease model database, the pre-diagnosis report generation module to screen the inspection item database for associated inspection items according to disease model options and to enter a pre-diagnosis report.
13. The virtual wearable device system of claim 10, further comprising an audit module that is activated manually or automatically when the second client receives the pre-diagnosis report, the audit module identifying an activation option and deciding whether to grant permission to generate the checklist based on the activation option.
14. The virtual wearable device system of claim 13, further comprising a supplemental interrogation module to generate supplemental voice interaction transmission information to transmit to the first client for supplemental voice interaction if the authority to generate the checklist cannot be granted.
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