Artificial intelligence auxiliary medical decision-making system

Through artificial intelligence-assisted medical decision-making system, multi-dimensional disease matching and cost optimization are used to solve the problems of unusual disease discovery and missed diagnosis in medical decision-making, provide accurate detection and treatment suggestions, and realize medical budget planning.

CN120496792APending Publication Date: 2025-08-15中国人民解放军总医院第八医学中心
0 Cites 4 Cited by

Patent Information

Application Number
CN202510431476.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-08
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

It is difficult to detect unusual diseases in medical decision-making in a timely manner, and the phenomenon of missed diagnosis across departments is serious, and doctors lack professionalism in financial planning, resulting in unreasonable treatment plans.

Method used

Design an artificial intelligence-assisted medical decision-making system, including a detection recommendation module, a diagnosis module and a treatment recommendation module, which uses multi-dimensional disease matching, dynamic probability calculation and cost optimization engine, and combines patient complaints, basic information and testing cost budgets to provide accurate detection and treatment recommendations.

Benefits of technology

Effectively detect extraordinary diseases, solve the problem of missed diagnosis across departments, provide precise treatment suggestions, and have the function of medical budget planning to help doctors and patients make reasonable treatment decisions.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses an artificial intelligence auxiliary medical decision-making system, and relates to the technical field of medical assistance. Through the detection suggestion module, preliminary reasoning and observation index judgment can be performed according to patient chief complaint in combination with basic information, and detection suggestions are given in combination with detection cost budget of a patient; through the diagnosis module, preliminary judgment can be made according to detection abnormity, disease classification is judged based on the current diagnosis result, further detection suggestions are given, and finally a doctor makes further diagnosis or treatment suggestions; through the treatment suggestion module, disease causes can be judged according to the diagnosis result, and detection cost budget of a patient is combined, so that the diagnosis and treatment efficiency is improved. Giving out treatment suggestions; the detection suggestion module, the diagnosis module and the treatment suggestion module jointly act to form a medical decision-making system, non-common diseases can be found easily, the problem of cross-department missed diagnosis is solved, the medical budget planning function is achieved, and doctors and patients can provide accurate treatment suggestions easily.
Need to check novelty before this filing date? Find Prior Art