CN116597978A - Doctor Ai portrait auxiliary diagnosis and treatment system - Google Patents
Doctor Ai portrait auxiliary diagnosis and treatment system Download PDFInfo
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- CN116597978A CN116597978A CN202210403286.2A CN202210403286A CN116597978A CN 116597978 A CN116597978 A CN 116597978A CN 202210403286 A CN202210403286 A CN 202210403286A CN 116597978 A CN116597978 A CN 116597978A
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- treatment system
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 39
- 238000011156 evaluation Methods 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 6
- 238000003058 natural language processing Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 201000010099 disease Diseases 0.000 abstract description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 3
- 208000024891 symptom Diseases 0.000 description 3
- 208000010428 Muscle Weakness Diseases 0.000 description 2
- 206010028372 Muscular weakness Diseases 0.000 description 2
- 230000001886 ciliary effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000024799 Thyroid disease Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 201000009310 astigmatism Diseases 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000001491 myopia Diseases 0.000 description 1
- 230000004379 myopia Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Primary Health Care (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application provides a doctor Ai portrait auxiliary diagnosis and treatment system, which comprises: inputting patient medical record information into a consultation device; the patient medical record information is subjected to auxiliary inquiry under the Ai portrait auxiliary plug-in; the Ai portrait auxiliary plug-in outputs suspected illness state and diagnosis evaluation; obtaining a data report according to the suspected illness state and the diagnosis evaluation; combining the data report with a doctor diagnosis to obtain an examination result; recommending a treatment scheme according to the examination result; transmitting the treatment scheme back to the Ai portrait auxiliary plug-in to collect data; the patient is revisited, diagnosis prompt information is optimized and simplified, recommendation of doctors for disease types is reduced, and the utilization rate of information by the doctors is improved; and invalid call is reduced, and the running speed of the system is improved.
Description
Technical Field
The application relates to the technical field of medical information detection, in particular to a doctor Ai portrait auxiliary diagnosis and treatment system.
Background
The existing clinical decision support system CDSS (Clinical Decision Support System) is an auxiliary medical decision system established on the basis of a knowledge graph and has the functions of auxiliary diagnosis, auxiliary clinical medication decision, treatment scheme recommendation, similar case recommendation, examination recommendation and the like. However, only the patient information is recommended, the diagnosis is repeated in a large amount with the doctor without prompting, the doctor actually needs less information, the user experience is poor, prompting is ignored, the target object only has the patient information, and the doctor information is not considered.
Disclosure of Invention
(one) solving the technical problems
In order to solve the above problems, the present application provides a doctor Ai portrait assisted diagnosis and treatment system.
(II) technical scheme
In order to achieve the above purpose, the present application provides the following technical solutions:
the application provides a doctor Ai portrait aided diagnosis and treatment system, which comprises: inputting patient medical record information into a consultation device; the patient medical record information is subjected to auxiliary inquiry under the Ai portrait auxiliary plug-in; the Ai portrait auxiliary plug-in outputs suspected illness state and diagnosis evaluation; obtaining a data report according to the suspected illness state and the diagnosis evaluation; combining the data report with a doctor diagnosis to obtain an examination result; recommending a treatment scheme according to the examination result; transmitting the treatment scheme back to the Ai portrait auxiliary plug-in to collect data; the patient is given a return visit.
Furthermore, the Ai portrait auxiliary plug-in adopts a natural language processing technology or a grammar template-based mode to carry out data analysis.
Further, the natural language processing technique includes: NER entity naming identification+relationship extraction algorithm.
Further, a consultation equipment, comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the doctor Ai portrait assisted diagnosis and treatment system according to claims 1 to 3 when executing the program.
Further, a non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the doctor Ai portrayal assisted diagnosis and treatment system according to claims 1 to 3.
Advantageous effects
The beneficial effects of the application are as follows: the application aims to solve the redundancy problem of the diagnosis prompt, and optimizes the diagnosis prompt has the following advantages:
1. optimizing and simplifying diagnosis prompt information, reducing recommendation of doctors for disease types, and improving information utilization rate of doctors;
2. and invalid call is reduced, and the running speed of the system is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and together with the embodiments of the application and do not constitute a limitation to the application, and in which:
FIG. 1 is a flow chart of the doctor Ai portrayal assisted diagnosis and treatment system of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order to more clearly and completely describe the technical scheme of the application, the application is further described below with reference to the accompanying drawings.
Referring to fig. 1, the present application provides a doctor Ai portrait assisted diagnosis and treatment system, which includes: inputting patient medical record information into a consultation device; the patient medical record information is subjected to auxiliary inquiry under the Ai portrait auxiliary plug-in; the Ai portrait auxiliary plug-in outputs suspected illness state and diagnosis evaluation; obtaining a data report according to the suspected illness state and the diagnosis evaluation; combining the data report with a doctor diagnosis to obtain an examination result; recommending a treatment scheme according to the examination result; transmitting the treatment scheme back to the Ai portrait auxiliary plug-in to collect data; the patient is given a return visit.
Furthermore, the Ai portrait auxiliary plug-in adopts a natural language processing technology or a grammar template-based mode to carry out data analysis.
Further, the natural language processing technique includes: NER entity naming identification+relationship extraction algorithm.
Further, a consultation equipment, comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the doctor Ai portrait assisted diagnosis and treatment system according to claims 1 to 3 when executing the program.
Further, a non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the doctor Ai portrayal assisted diagnosis and treatment system according to claims 1 to 3.
In this embodiment, the present application performs AI portrayal on the historical behavior and feature data of the doctor, analyzes the diagnosis information possibly required by the doctor, and prompts the doctor based on the analysis, for example, cases: a patient with ciliary muscle weakness is treated by eye vision ghost to the eye, the CDSS system recommends possible symptoms according to the complaints, and usually the diagnosis auxiliary system only displays the first 5 symptoms with the highest probability of being associated with the complaints to make recommendations, such as astigmatism, myopia, hypertension, diabetes and thyroid diseases. But these are also generally well known to the ophthalmic practitioner as conditions that do not require prompting.
The application optimizes the symptoms frequently contacted by the doctor and recommends other diseases which have lower probability of being related to complaints but are more unfamiliar to the doctor, such as ciliary muscle weakness. The leakage and deficiency detection is truly realized, and the utilization rate of the diagnosis prompt is improved.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
The relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description. Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate. In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
In the description of the present application, it should be understood that the azimuth or positional relationships indicated by the azimuth terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal", and "top, bottom", etc., are generally based on the azimuth or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and these azimuth terms do not indicate and imply that the apparatus or elements referred to must have a specific azimuth or be constructed and operated in a specific azimuth, and thus should not be construed as limiting the scope of protection of the present application; the orientation word "inner and outer" refers to inner and outer relative to the contour of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
In addition, the terms "first", "second", etc. are used to define the components, and are only for convenience of distinguishing the corresponding components, and the terms have no special meaning unless otherwise stated, and therefore should not be construed as limiting the scope of the present application.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.
Claims (5)
1. A doctor Ai portrait assisted diagnosis and treatment system, characterized in that the doctor Ai portrait assisted diagnosis and treatment system includes:
inputting patient medical record information into a consultation device;
the patient medical record information is subjected to auxiliary inquiry under the Ai portrait auxiliary plug-in;
the Ai portrait auxiliary plug-in outputs suspected illness state and diagnosis evaluation;
obtaining a data report according to the suspected illness state and the diagnosis evaluation;
combining the data report with a doctor diagnosis to obtain an examination result;
recommending a treatment scheme according to the examination result;
transmitting the treatment scheme back to the Ai portrait auxiliary plug-in to collect data;
the patient is given a return visit.
2. The doctor Ai portrayal assisted diagnosis and treatment system according to claim 1, wherein the Ai portrayal assistance plug-in performs data analysis by using a natural language processing technique or a grammar template-based manner.
3. The doctor Ai portrayal assisted diagnosis and treatment system according to claim 2, wherein the natural language processing technique includes: NER entity naming identification+relationship extraction algorithm.
4. A diagnostic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the doctor Ai portrayal assisted diagnosis and treatment system according to claims 1 to 3 when executing the program.
5. A non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a doctor Ai portrayal assisted diagnosis and treatment system according to claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210403286.2A CN116597978A (en) | 2022-04-18 | 2022-04-18 | Doctor Ai portrait auxiliary diagnosis and treatment system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210403286.2A CN116597978A (en) | 2022-04-18 | 2022-04-18 | Doctor Ai portrait auxiliary diagnosis and treatment system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116597978A true CN116597978A (en) | 2023-08-15 |
Family
ID=87588592
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210403286.2A Pending CN116597978A (en) | 2022-04-18 | 2022-04-18 | Doctor Ai portrait auxiliary diagnosis and treatment system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116597978A (en) |
-
2022
- 2022-04-18 CN CN202210403286.2A patent/CN116597978A/en active Pending
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