摘要
目的:建设基于AI的诊前预问诊系统,有效利用患者的诊前等待时间,模拟医生问诊过程,提前接诊收集患者病史,自动生成结构化病历文书,为患者提供智能便捷的就医服务,为医生提供更加高效、精准的工作方式。方法:融合自然语言处理和机器学习等技术,对自动生成的病历进行深度分析,实现精准病情分析与智能化医疗服务。引入语音、图像等多种输入方式,丰富预问诊的信息采集手段,提高诊断的准确性。结果:医生的病历书写时间缩短了34.44%,提高了门诊医生工作效率。结论:基于AI的诊前预问诊系统的建设成果,丰富了医疗服务的内涵,为构建智能化、人性化、个性化的医疗服务体系提供了落地的应用场景及基础。
Objective To provide intelligent and convenient medical services for patients and provide more efficient and precise working methods for doctors by building an AI-based pre-consultation system,effectively utilizing patients'pre-consultation waiting time,simulating doctors'consultation process,collecting patients'medical record in advance,and automatically generating structured medical records.Methods By integrating natural language processing and machine learning technologies,the automatic medical records were analyzed in-depth to achieve precise disease analysis and intelligent medical services.By introducing voice,image and other input methods to enrich the means of pre-consultation information collection and improve the accuracy of diagnosis.Results The working efficiency of outpatient doctors was increased since the writing time of medical records was shortened by 34.44%.Conclusion The construction results of the AI-based pre-consultation system can enrich the connotation of medical services,and provide a practical application scenario and foundation for constructing an intelligent,humanized and personalized medical service system.
作者
侯佳音
徐博
何萍
HOU Jiayin;XU Bo;HE Ping(Link-Healthcare Center,Shanghai Hospital Development Center,Shanghai 200041,China;Link-Healthcare Project and Information Technology Department,Shanghai Hospital Development Center,Shanghai 200041,China;Information Management Department,Shanghai 10th People's Hospital)
出处
《中国数字医学》
2024年第7期17-22,共6页
China Digital Medicine
基金
国家科技部科技创新2030-“新一代人工智能(2030)”重大项目《医疗异构联合隐私学习平台》(SQ2022AAA010591)。
关键词
人工智能
门诊
流程优化
预问诊
Artificial intelligence
Outpatient service
Process optimization
Pre-consultation