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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)
机构地区:[1]上海申康医院发展中心医联中心,上海200041 [2]上海申康医院医联工程与信息化部,上海200041 [3]上海市第十人民医院信息管理处
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)。
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.
分 类 号:R197.32[医药卫生—卫生事业管理] TP391[医药卫生—公共卫生与预防医学]
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