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Designing Colorectal Cancer Screening Decision Support: A Cognitive Engineering Enterprise

机译:设计大肠癌筛查决策支持:一家认知工程企业

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摘要

Adoption of clinical decision support has been limited. Important barriers include an emphasis on algorithmic approaches to decision support that do not align well with clinical work flow and human decision strategies, and the expense and challenge of developing, implementing, and refining decision support features in existing electronic health records (EHRs). We applied decision-centered design to create a modular software application to support physicians in managing and tracking colorectal cancer screening. Using decision-centered design facilitates a thorough understanding of cognitive support requirements from an end user perspective as a foundation for design. In this project, we used an iterative design process, including ethnographic observation and cognitive task analysis, to move from an initial design concept to a working modular software application called the Screening & Surveillance App. The beta version is tailored to work with the Veterans Health Administration’s EHR Computerized Patient Record System (CPRS). Primary care providers using the beta version Screening & Surveillance App more accurately answered questions about patients and found relevant information more quickly compared to those using CPRS alone. Primary care providers also reported reduced mental effort and rated the Screening & Surveillance App positively for usability.
机译:临床决策支持的采用受到限制。重要的障碍包括强调与临床工作流程和人类决策策略不符的决策支持算法方法,以及在现有电子健康记录(EHR)中开发,实施和完善决策支持功能的费用和挑战。我们应用了以决策为中心的设计来创建模块化软件应用程序,以支持医生管理和跟踪结肠直肠癌筛查。从最终用户的角度出发,使用以决策为中心的设计有助于彻底理解认知支持需求,以此作为设计的基础。在这个项目中,我们使用了包括人种学观察和认知任务分析在内的迭代设计过程,将其从最初的设计概念转变为可运行的模块化软件应用程序,称为“筛查和监视应用程序”。该Beta版本是为与退伍军人健康管理局的EHR计算机化患者记录系统(CPRS)一起使用而量身定制的。与仅使用CPRS的患者相比,使用Beta版的“筛查与监视”应用程序的初级保健提供者可以更准确地回答有关患者的问题,并更快地找到相关信息。初级保健提供者还报告减少了精神努力,并对“筛查和监视”应用程序的可用性给予了积极评价。

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