首页> 外文期刊>Journal of the American Medical Informatics Association : >Wagholikar Dr., K.B.a , MacLaughlin, K.L.b , Kastner, T.M.c , Casey, P.M.c , Henry, M.d , Greenes, R.A.e f , Liu, H.a , Chaudhry, R.g Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening
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Wagholikar Dr., K.B.a , MacLaughlin, K.L.b , Kastner, T.M.c , Casey, P.M.c , Henry, M.d , Greenes, R.A.e f , Liu, H.a , Chaudhry, R.g Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening

机译:Wagholikar博士,K.B.a,MacLaughlin,K.L.b,Kastner,T.M.c,Casey,P.M.c,Henry,M.d,Greenes,R.e. f,Liu,H.a,Chaudhry,R.g宫颈癌筛查临床决策支持系统准确性的形成性评估

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摘要

Objectives: We previously developed and reported on a prototype clinical decision support system (CDSS) for cervical cancer screening. However, the system is complex as it is based on multiple guidelines and freetext processing. Therefore, the system is susceptible to failures. This report describes a formative evaluation of the system, which is a necessary step to ensure deployment readiness of the system. Materials and methods: Care providers who are potential end-users of the CDSS were invited to provide their recommendations for a random set of patients that represented diverse decision scenarios. The recommendations of the care providers and those generated by the CDSS were compared. Mismatched recommendations were reviewed by two independent experts. Results: A total of 25 users participated in this study and provided recommendations for 175 cases. The CDSS had an accuracy of 87% and 12 types of CDSS errors were identified, which were mainly due to deficiencies in the system's guideline rules. When the deficiencies were rectified, the CDSS generated optimal recommendations for all failure cases, except one with incomplete documentation. Discussion and conclusions: The crowd-sourcing approach for construction of the reference set, coupled with the expert review of mismatched recommendations, facilitated an effective evaluation and enhancement of the system, by identifying decision scenarios that were missed by the system's developers. The described methodology will be useful for other researchers who seek rapidly to evaluate and enhance the deployment readiness of complex decision support systems.
机译:目标:我们先前开发并报告了用于宫颈癌筛查的原型临床决策支持系统(CDSS)。但是,该系统很复杂,因为它基于多个准则和自由文本处理。因此,系统容易出现故障。该报告描述了系统的形成性评估,这是确保系统准备就绪的必要步骤。材料和方法:作为CDSS潜在最终用户的护理提供者应邀为代表不同决策场景的随机患者提供建议。比较了护理提供者的建议和CDSS提出的建议。不匹配的建议由两名独立专家进行了审查。结果:共有25位用户参加了这项研究,并为175例患者提供了建议。 CDSS的准确性为87%,并识别出12种CDSS错误,这主要是由于系统准则规则的缺陷。纠正这些缺陷后,CDSS会为所有失败案例提供最佳建议,除非其中一个文档不完整。讨论与结论:构建参考集的众包方法,加上对不匹配建议的专家审查,通过确定系统开发人员遗漏的决策方案,促进了系统的有效评估和增强。所描述的方法将对寻求快速评估和增强复杂决策支持系统的部署准备情况的其他研究人员很有用。

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