CN113707306A - AI-normalization-based on-line joint consultation method for assisting diagnosis and treatment decision - Google Patents
AI-normalization-based on-line joint consultation method for assisting diagnosis and treatment decision Download PDFInfo
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- CN113707306A CN113707306A CN202111005971.1A CN202111005971A CN113707306A CN 113707306 A CN113707306 A CN 113707306A CN 202111005971 A CN202111005971 A CN 202111005971A CN 113707306 A CN113707306 A CN 113707306A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000003745 diagnosis Methods 0.000 title claims abstract description 30
- 238000010606 normalization Methods 0.000 title claims description 5
- 230000000977 initiatory effect Effects 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 47
- 230000001788 irregular Effects 0.000 abstract description 2
- 201000010099 disease Diseases 0.000 description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
- 206010028980 Neoplasm Diseases 0.000 description 3
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention discloses an AI-normalized-aided diagnosis and treatment decision-based online combined consultation method, belonging to the technical field of AI-normalized-aided diagnosis and treatment decision-based MDT working methods, and comprising the following steps of: s1, the department of the patient sees a doctor, medical record files are created through AI-MDT, medical record pictures and medical image data are uploaded, and a personalized medical treatment path and scheme are provided according to the patient' S illness state through an AI medical treatment decision system; according to the consultation system, the AI standardized diagnosis decision making system is introduced to be embedded into the consultation MDT process, so that a main doctor and a consultation specialist are assisted to issue a standardized diagnosis and treatment scheme, the system is simple to operate and convenient to use, and the problem that a treatment scheme is irregular due to different doctor levels because doctors select a treatment path and a treatment scheme for a patient through own experience in the traditional consultation process is solved; the system can calculate the subsequent treatment path and treatment scheme of the patient through AI (artificial intelligence) only by inputting the state of the patient.
Description
Technical Field
The invention relates to the technical field of an AI (AI-normalized aided diagnosis and treatment) decision-making-based MDT (minimization of drive tests) working method, in particular to an AI-normalized diagnosis and treatment decision-making-based online joint consultation method.
Background
In the tumor diagnosis and treatment industry, clinicians often face patients with complex disease conditions in daily diagnosis and treatment, and experts from different disciplines are needed to perform combined diagnosis and treatment (MDT) on the disease conditions of the patients, wherein the traditional mode is as follows: the application is initiated by the patient main doctor, and the main doctor organizes the patient condition information and the consultation discussion scheme and submits to a consultation specialist group for consultation;
however, in the prior art, in the combined consultation scheme, the standardization degree in the tumor diagnosis and treatment process is low, a unified and standardized reference scheme is mostly adopted in the consultation process, but the consultation discussion scheme aiming at the disease conditions of the patients cannot form a 'one person to one case' according to the patients, because the disease type, the disease severity, the operation difficulty, diagnosis and treatment opinions of doctors in different departments on the same patient, the proposed diagnosis and treatment scheme and the like of each patient are usually different, and because the scheme is not unified and standardized, the consultation process is long, the whole treatment process is influenced, and the doctor time is occupied, so that the online combined consultation method based on AI standardized auxiliary diagnosis and treatment decisions is provided.
Disclosure of Invention
The invention aims to provide an AI-based normalized auxiliary diagnosis and treatment decision-making online combined consultation method, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an AI-normalization-based on-line joint consultation method for assisting diagnosis and treatment decision comprises the following steps:
s1, the department of the patient sees a doctor, medical record files are created through AI-MDT, medical record pictures and medical image data are uploaded, and a personalized medical treatment path and scheme are provided according to the patient' S illness state through an AI medical treatment decision system;
s2, the main doctor initiating the application selects an AI recommendation normalized treatment path and a treatment scheme to submit a consultation application and other consultation doctors through the AI-MDT system;
s3, after receiving the consultation application, the consultation specialist selects a treatment path and a treatment scheme suitable for the patient from the perspective of the specialist according to the treatment path and the treatment scheme recommended by the AI system, and then submits a consultation discussion suggestion;
s4, after receiving the consultation schemes of all doctors, the final examination expert selects a final treatment path and a final treatment scheme suitable for the patient from the perspective of the expert according to the treatment path and the scheme recommended by the AI system;
and S5, finishing the consultation process, and generating an AI-MDT consultation report to the application main doctor so as to diagnose and treat the patient.
Preferably, in step S1, the AI medical decision system is a sea-heart AI standardized decision system, and the AI recommended treatment path and scheme and the selected AI standardized scheme in step S2 are synchronized schemes.
Preferably, in step S1, after the AI medical decision system presents a personalized medical path and a personalized medical plan according to the patient condition, the AI recommended treatment path and the AI recommended treatment plan are sent to the selected AI standardized plan.
Preferably, in step S2, after the main clinician initiates the MDT application, the consultation request needs to be filled in as a consultation plan discussion topic.
Preferably, in step S3, when the consultation specialist submits the consultation discussion opinions, the consultation specialist 'S plan is summarized, and the plan received by the final review specialist is the consultation specialist' S summarized plan and the AI recommended treatment plan.
Preferably, after the consultation application is submitted in step S2, the consultation application is pre-reviewed by the maritime AI standardized decision system, if the pre-review is passed, the MDT team is assigned to send the consultation application to the consultation specialist, if the pre-review is not passed, the main doctor supplements the data, and submits the application again until the review is passed.
Compared with the prior art, the invention has the beneficial effects that:
the invention has the advantages that an AI (artificial intelligence) standardized diagnosis and treatment decision making system is introduced to be embedded into a consultation MDT (minimization of drive test) process, so that a main doctor and a consultation specialist are assisted to issue a standardized diagnosis and treatment scheme, the system is simple to operate and convenient to use by the doctor, and the problem that the doctor selects a treatment path and a treatment scheme for a patient through own experience in the traditional consultation process and the treatment scheme is irregular at a certain probability due to different doctor levels is solved; the system can calculate the subsequent treatment path and treatment scheme of the patient through AI (artificial intelligence) only by inputting the state of the patient, and all consultation schemes of the subsequent doctors are conducted under the guidance of the AI scheme; the AI decision-making system not only saves time, but also helps to ensure that the whole consultation process is carried out under a standardized frame, so that doctors benefit and patients benefit;
secondly, the positive progress effects of the invention are as follows: through AI decision-making based on standardized cancer diagnosis and treatment guidelines, through recommending diagnosis and treatment schemes to the individualized AI of the patient's condition, the standardization of the diagnosis and treatment process is promoted while the traditional MDT technology is fused, the traditional MDT technology is more beneficial to the patient, basic department doctors and consultation doctors participating in MDT are benefited, the consultation efficiency of doctors is improved, and the standardized diagnosis and treatment level of the doctors is improved.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution:
an AI-normalization-based on-line joint consultation method for assisting diagnosis and treatment decision comprises the following steps:
s1, the department of the patient sees a doctor, medical record files are created through AI-MDT, medical record pictures and medical image data are uploaded, and a personalized medical treatment path and scheme are provided according to the patient' S illness state through an AI medical treatment decision system;
s2, the main doctor initiating the application selects an AI recommendation normalized treatment path and a treatment scheme to submit a consultation application and other consultation doctors through the AI-MDT system;
s3, after receiving the consultation application, the consultation specialist selects a treatment path and a treatment scheme suitable for the patient from the perspective of the specialist according to the treatment path and the treatment scheme recommended by the AI system, and then submits a consultation discussion suggestion;
s4, after receiving the consultation schemes of all doctors, the final examination expert selects a final treatment path and a final treatment scheme suitable for the patient from the perspective of the expert according to the treatment path and the scheme recommended by the AI system;
and S5, finishing the consultation process, and generating an AI-MDT consultation report to the application main doctor so as to diagnose and treat the patient.
Referring to fig. 1, in step S1, the AI medical decision system is a sea-centered AI standardized decision system, and the AI recommends a treatment path and a scheme as a synchronous scheme with the selected AI standardized scheme in step S2;
referring to fig. 1, in step S1, after the AI medical decision system presents a personalized medical path and a personalized medical plan according to the patient' S condition, the AI recommended treatment path and the AI recommended treatment plan are sent to the selected AI standardized plan;
referring to fig. 1, in step S2, after the main clinician initiates the MDT application, a consultation request needs to be filled in as a consultation scheme discussion topic;
referring to fig. 1, in step S3, when the consultation specialist submits the consultation discussion opinions, the consultation specialist 'S plan is summarized, and the plan received by the final review specialist is the consultation specialist' S summarized plan and the AI recommended treatment plan;
referring to fig. 1, after the consultation application is submitted in step S2, the consultation application is pre-reviewed by the maritime AI standardized decision-making system, if the pre-review is passed, the MDT team is assigned to send the consultation application to the consultation specialist, if the pre-review is not passed, the main doctor supplements the data, and submits the application again until the review is passed;
the working principle is as follows: a patient department visits a doctor, medical record files are created through AI-MDT, medical record pictures and medical image data are uploaded, and personalized medical treatment paths and schemes are provided according to the patient's illness state through an AI medical treatment decision system; the main doctor who initiates the application selects an AI recommendation standardized treatment path and a treatment scheme to submit consultation application and other consultation doctors through an AI-MDT system; after receiving the consultation application, the consultation specialist selects a treatment path and a treatment scheme suitable for the patient from the perspective of the specialist according to the treatment path and the treatment scheme recommended by the AI system, and then submits consultation discussion opinions; after receiving the consultation schemes of all doctors, the final examination expert selects a final treatment path and a final treatment scheme suitable for the patient from the perspective of the expert according to the treatment path and the scheme recommended by the AI system; and (5) finishing the consultation process, and generating an AI-MDT consultation report to the application main doctor so as to diagnose and treat the patient.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The AI-normalization-based on-line joint consultation method for assisting diagnosis and treatment decision is characterized by comprising the following steps of:
s1, the department of the patient sees a doctor, medical record files are created through AI-MDT, medical record pictures and medical image data are uploaded, and a personalized medical treatment path and scheme are provided according to the patient' S illness state through an AI medical treatment decision system;
s2, the main doctor initiating the application selects an AI recommendation normalized treatment path and a treatment scheme to submit a consultation application and other consultation doctors through the AI-MDT system;
s3, after receiving the consultation application, the consultation specialist selects a treatment path and a treatment scheme suitable for the patient from the perspective of the specialist according to the treatment path and the treatment scheme recommended by the AI system, and then submits a consultation discussion suggestion;
s4, after receiving the consultation schemes of all doctors, the final examination expert selects a final treatment path and a final treatment scheme suitable for the patient from the perspective of the expert according to the treatment path and the scheme recommended by the AI system;
and S5, finishing the consultation process, and generating an AI-MDT consultation report to the application main doctor so as to diagnose and treat the patient.
2. The AI-normalized-aided diagnosis and treatment decision-making based on-line combined consultation method according to claim 1, wherein: in step S1, the AI medical decision system is a standardized AI haixin AI decision system, and the AI recommended treatment path and plan and the selected AI standardized plan in step S2 are synchronized plans.
3. The AI-normalized-aided diagnosis and treatment decision-making based on-line combined consultation method according to claim 1, wherein: in step S1, after the AI medical decision system presents a personalized medical path and a personalized medical plan according to the patient' S condition, the AI recommended treatment path and the AI recommended treatment plan are sent to the selected AI standardized plan.
4. The AI-normalized-aided diagnosis and treatment decision-making based on-line combined consultation method according to claim 1, wherein: in step S2, after the main clinician initiates the MDT application, the consultation request needs to be filled in as a consultation plan discussion topic.
5. The AI-normalized-aided diagnosis and treatment decision-making based on-line combined consultation method according to claim 1, wherein: in step S3, when the consultation specialist submits the consultation discussion opinions, the solutions of the consultation specialist are summarized, and the solution received by the final-review specialist is the summarized solution of the consultation specialist and the AI recommended treatment solution.
6. The AI-normalized-aided diagnosis and treatment decision-making based on-line combined consultation method according to claim 1, wherein: after the consultation application is submitted in step S2, the consultation application is pre-reviewed by the Hainan AI standardized decision-making system, if the consultation application passes the pre-review, the MDT team is assigned to send the consultation application to the consultation specialist, if the consultation application does not pass the pre-review, the main diagnostician supplements the data, and submits the application again until the review passes.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117747092A (en) * | 2024-02-20 | 2024-03-22 | 天津医科大学总医院 | Orthopedics image auxiliary detection system and method based on data analysis |
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