Advances in Artificial Intelligence-Assisted Medical Record Generation:A Review Based on the SPO THEORY
Mo Taoxin
Wang Dan
Li Chenxiong
Zhao Zemeng
Wang Wei
Chen Muzi
Xue Dong
Abstract：Objective Based on the classical healthcare quality management SPO theory,it explores the specific scenarios,implementation approaches,and management requirements for Artificial Intelligence(AI)-assisted medical record generation.Methods It employed the content analysis method to systematically sort out 25 cases of artificial intelligence-assisted medical record generation implemented in domestic medical institutions.It summarized the existing experience and,in combination with the current legal system,explored the management needs.Results At present,there are practical cases of AI-assisted medical record generation in both outpatient and inpatient medical record scenarios.Implementation approaches vary significantly across different AI technologies with corresponding resource investments.AI-generated medical records require mandatory verification and confirmation by healthcare professionals.A solution utilizing Large Language Models for extracting medical quality management indicators is feasible.Conclusion AI-assisted medical record generation represents a developmental opportunity for enhancing healthcare quality management.
Keywords：Artificial Intelligencemedical record generationSPO theoryLarge Language Models
Publication Date：2026-03-05
Online Publishing Date：2026-03-18(First online date of this platform, not the publication date of the document)
Pages：5( 88-92 )