集成技术2026，Vol.15Issue(2)：104-115,12.DOI:10.12146/j.issn.2095-3135.20250516001
DeepSeek在电子病历质控中的应用与分析
Application and Analysis of DeepSeek in Electronic Medical Record Quality Control
陶博 1周帆帆 1刘大锦 1马秀1
作者信息
- 1. 昆明医科大学第一附属医院 昆明 650032
- 折叠
摘要
Abstract
Electronic medical records(EMR)play a critical role in modern healthcare.However,existing methods for quality control of electronic medical records,including traditional manual quality control and automated quality control systems,suffer from issues such as high workload,low efficiency,and limited coverage,making them inadequate for meeting the demands of efficient quality control in contemporary healthcare environments.To address these challenges,this paper proposes an EMR quality control system based on the DeepSeek large model,integrating prompt learning and knowledge-base-based retrieval-augmented generation(RAG)techniques to achieve automated quality control by leveraging multi-source medical knowledge.The experimental results demonstrate that this system has significantly optimized the omission rate,content deficiency rate,and quality control effectiveness of medical records.The missing filling rate of medical records has dropped from 9.42%to 3.55%,the connotative defect rate has decreased from 76.52%to 34.28%,and the medical record quality control rate has reached 100%.This study demonstrates the great potential of the DeepSeek-based automated quality control approach in enhancing both EMR quality and operational efficiency,providing strong support for the future intelligent development of EMR quality control.关键词
病历质控/人工智能/DeepSeek/提示学习/检索增强生成Key words
medical record quality control/artificial intelligence/DeepSeek/prompt learning/retrieval-augmented generation分类
信息技术与安全科学引用本文复制引用
陶博,周帆帆,刘大锦,马秀..DeepSeek在电子病历质控中的应用与分析[J].集成技术,2026,15(2):104-115,12.
