设计临床决策支持系统 (CDSS) - 一个以用户为中心的设计特征,挑战和影响的镜头:系统审查
Andrew A Bayor1, Jane Li1, Ian A Yang2,3
1Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, 296 Herston Rd, Herston, Brisbane, QLD, 4006, Australia, 61 7 3253 3620.
Journal of medical Internet research
|June 20, 2025
概括
本综述强调了临床决策支持系统 (CDSS) 设计的挑战,强调以用户为中心的设计 (UCD) 和整合,以提高可用性和采用性. 未来的CDSS应该优先考虑用户体验和互操作性,以提高医疗保健质量.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 软件工程 软件工程 软件工程
背景情况:
- 临床决策支持系统 (CDSS) 在护理点提供基于证据的信息,以提高医疗保健质量.
- 关于CDSS设计特征和趋势的研究有限,阻碍了对其功能,可用性和采用的优化.
- 了解CDSS设计对于提高其在临床环境中的有效性至关重要.
研究的目的:
- 从以用户为中心的角度系统地审查CDSS设计特征,重点关注以用户为中心的设计 (UCD),用户体验 (UX) 和可用性.
- 确定设计挑战,并为未来的CDSS开发提供见解.
- 为优化CDSS功能,可用性和在医疗保健中的采用提供信息.
主要方法:
- 按照PRISMA指导方针进行系统审查,并使用基于理论的分析.
- 搜索了4个主要的数据库 (PubMed,科学网络,Scopus,IEEE Xplore) 来查找2013-2023年的论文.
- 包括专注于针对健康状况设计的CDSS的研究,讨论设计和UX方面;排除纯粹的技术或非初级研究.
主要成果:
- 以用户为中心的设计 (UCD) 是主要的方法,具有集成的可用性评估.
- 大多数CDSS是面向临床医生的独立系统,缺乏与现有临床工作流程的整合.
- 确定了关键的设计挑战:可用性/UX,有效性/可靠性,数据质量和集成复杂性.
- 可解释的人工智能 (XAI) 在提高CDSS有效性,可靠性,透明度和用户信任方面显示出希望.
结论:
- 用户参与的实用性UCD方法对于改善CDSS可用性和UX至关重要.
- 与临床系统的整合对于互操作性和在CDSS中利用AI至关重要.
- 可解释AI (XAI) 可以增加对CDSS的信任和接受.
- 支持临床医生和患者的CDSS可以提高虚拟护理的有效性.
关键词:
这是一个CDSSCDSSCDSS.电子人权 (EHRs) 是一种电子人权.在EMRs中,EMRs是非常重要的.菲希尔 (FHIR) 是一个人.人工智能的人工智能是人工智能.临床决策支持系统.临床医生,临床医生.设计 设计 设计 设计设计挑战 设计挑战设计影响 设计影响诊断 诊断 诊断 诊断 诊断电子健康记录是电子健康记录.电子医疗记录 电子医疗记录新兴技术是新兴技术.可以解释的人工智能AI快速医疗保健互操作性资源提供医疗保健的医疗保健服务.实施实施实施实施实施.整合 整合 整合 整合医疗状况 医疗情况患者-临床医生关系系统性审查 系统性审查可用性评估可用性评估以用户为中心的设计更多相关视频
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