Auxiliary diagnosis and treatment artificial intelligence application evaluation framework and evaluation method

Abstract

The invention discloses an auxiliary diagnosis and treatment artificial intelligence application evaluation framework and evaluation method, and relates to the technical field of health technology evaluation. The framework comprises an institution / facility / equipment layer, a process layer, a result layer and an application planning evaluation layer; wherein the mechanism / facility / equipment layer mainly considers three dimensions of technical safety effectiveness, technical accessibility and technical burdenability; the process layer mainly focuses on two dimensions of operation effectiveness and user satisfaction; the result layer mainly focuses on two dimensions of an individual result and a group result; and the application planning evaluation layer analyzes a policy influence layer, including influences on a supervision system, a medical insurance payment system, a health budget system and the like in China, and mainly pays attention to two dimensions of a process and a result. The framework is suitable for providing a product for diagnosis and treatment activities by a new-generation artificial intelligence technology, including but not limited to diagnosis and treatment decision, diagnosis and treatment execution, curative effect evaluation, dynamic optimization and process management.

Description

technical field [0001] The present invention relates to the technical field of health technology assessment, and in particular to an assessment framework and assessment method for artificial intelligence applications in auxiliary diagnosis and treatment. Background technique [0002] AI application assessment for auxiliary diagnosis and treatment refers to the provision of a systematic evaluation basis for the application of technologies that have passed the review and approval of medical device regulatory authorities into medical institutions and (or) the medical insurance reimbursement catalogue. Effect tracking evaluation can also be a forward-looking evaluation of future technologies. [0003] At present, the health field is moving towards intelligence. Medical artificial intelligence is a product of the integration of system science and medicine. At present, there are many types of application projects, the quality is difficult to guarantee, and there is a lack of rigor...

AI Technical Summary

Problems solved by technology

Lack of specific medical AI assessment models and methods

Images