目的开发一款人工智能辅助的病历书写系统,以帮助医生更及时、高效地撰写互联网诊疗病历。
方法通过中山大学肿瘤防治中心掌上医院APP,集成如智能预问诊自动病史采集、报告文本光学字符识别、结构化病历文书自动输出、检验检查异常值自动识别插入、历史病历导入和电子签名等多项辅助功能。
结果显著提升了医生病历书写的便捷性和规范性。上线4个月内,该系统已支持医生撰写超过1万份互联网诊疗病历,且使用量逐月增长。
结论这一系统有效提升了病历书写效率,进而改善了互联网诊疗的整体质量、安全性及患者满意度。
ObjectiveTo develop an AI-assisted medical record writing system to assist doctors in writing Internet-based medical records timely and efficiently.
MethodsThe system was realized in the Sun Yat-sen University Cancer Center Hospital APP by integrating multiple auxiliary functions such as intelligent pre-diagnosis for automatic medical history collection, optical character recognition of report texts, automatic output of structured medical records, automatic identification and insertion of abnormal values in inspections, import of historical medical records, and electronic signatures.
ResultsThe system significantly enhanced the convenience and standardization of doctors′ medical record writing. Within four months of its launch, the system had supported doctors in writing over 10 000 Internet-based medical records, with usage increasing month by month.
ConclusionsThe system can effectively improve the efficiency of medical record writing, thereby enhancing the overall quality, safety, and patient satisfaction of Internet-based medical care.
廖文敏,石文娟,施楠,等. 人工智能辅助的互联网诊疗病历书写系统的建立及应用[J]. 数字医学与健康,2025,03(01):49-53.
DOI:10.3760/cma.j.cn101909-20240424-00088版权归中华医学会所有。
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除非特别声明,本刊刊出的所有文章不代表中华医学会和本刊编委会的观点。
廖文敏:酝酿和设计实验,分析/解释数据,起草文章,统计分析;石文娟:实施研究,对文章的知识性内容作批评性审阅,支持性贡献;施楠:采集数据,对文章的知识性内容作批评性审阅,行政、技术或材料支持;何仲廉:酝酿和设计实验,对文章的知识性内容作批评性审阅,指导;李超峰:酝酿和设计实验,对文章的知识性内容作批评性审阅,行政、技术或材料支持,指导

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