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急诊科复杂临床决策支持工具的可用性测试:经验教训

Usability Testing of a Complex Clinical Decision Support Tool in the Emergency Department: Lessons Learned.

作者信息

Press Anne, McCullagh Lauren, Khan Sundas, Schachter Andy, Pardo Salvatore, McGinn Thomas

机构信息

Hofstra North Shore-LIJ School of Medicine, Department of Medicine, Manhasset, NY, United States.

出版信息

JMIR Hum Factors. 2015 Sep 10;2(2):e14. doi: 10.2196/humanfactors.4537.

Abstract

BACKGROUND

As the electronic health record (EHR) becomes the preferred documentation tool across medical practices, health care organizations are pushing for clinical decision support systems (CDSS) to help bring clinical decision support (CDS) tools to the forefront of patient-physician interactions. A CDSS is integrated into the EHR and allows physicians to easily utilize CDS tools. However, often CDSS are integrated into the EHR without an initial phase of usability testing, resulting in poor adoption rates. Usability testing is important because it evaluates a CDSS by testing it on actual users. This paper outlines the usability phase of a study, which will test the impact of integration of the Wells CDSS for pulmonary embolism (PE) diagnosis into a large urban emergency department, where workflow is often chaotic and high stakes decisions are frequently made. We hypothesize that conducting usability testing prior to integration of the Wells score into an emergency room EHR will result in increased adoption rates by physicians.

OBJECTIVE

The objective of the study was to conduct usability testing for the integration of the Wells clinical prediction rule into a tertiary care center's emergency department EHR.

METHODS

We conducted usability testing of a CDS tool in the emergency department EHR. The CDS tool consisted of the Wells rule for PE in the form of a calculator and was triggered off computed tomography (CT) orders or patients' chief complaint. The study was conducted at a tertiary hospital in Queens, New York. There were seven residents that were recruited and participated in two phases of usability testing. The usability testing employed a "think aloud" method and "near-live" clinical simulation, where care providers interacted with standardized patients enacting a clinical scenario. Both phases were audiotaped, video-taped, and had screen-capture software activated for onscreen recordings.

RESULTS

Phase I: Data from the "think-aloud" phase of the study showed an overall positive outlook on the Wells tool in assessing a patient for a PE diagnosis. Subjects described the tool as "well-organized" and "better than clinical judgment". Changes were made to improve tool placement into the EHR to make it optimal for decision-making, auto-populating boxes, and minimizing click fatigue. Phase II: After incorporating the changes noted in Phase 1, the participants noted tool improvements. There was less toggling between screens, they had all the clinical information required to complete the tool, and were able to complete the patient visit efficiently. However, an optimal location for triggering the tool remained controversial.

CONCLUSIONS

This study successfully combined "think-aloud" protocol analysis with "near-live" clinical simulations in a usability evaluation of a CDS tool that will be implemented into the emergency room environment. Both methods proved useful in the assessment of the CDS tool and allowed us to refine tool usability and workflow.

摘要

背景

随着电子健康记录(EHR)成为医疗实践中首选的文档工具,医疗保健组织正在推动临床决策支持系统(CDSS),以帮助将临床决策支持(CDS)工具置于医患互动的前沿。CDSS被集成到EHR中,使医生能够轻松使用CDS工具。然而,CDSS通常在没有进行可用性测试初始阶段的情况下就被集成到EHR中,导致采用率较低。可用性测试很重要,因为它通过在实际用户身上进行测试来评估CDSS。本文概述了一项研究的可用性阶段,该研究将测试Wells CDSS用于肺栓塞(PE)诊断集成到大型城市急诊科的影响,在该急诊科,工作流程通常混乱,且经常需要做出高风险决策。我们假设在将Wells评分集成到急诊室EHR之前进行可用性测试将提高医生的采用率。

目的

本研究的目的是对将Wells临床预测规则集成到三级护理中心急诊科EHR中进行可用性测试。

方法

我们在急诊科EHR中对一个CDS工具进行了可用性测试。该CDS工具以计算器形式包含Wells PE规则,并由计算机断层扫描(CT)订单或患者的主诉触发。该研究在纽约皇后区的一家三级医院进行。招募了七名住院医师并让他们参与了两个阶段的可用性测试。可用性测试采用“出声思考”方法和“近似实时”临床模拟,在此过程中,医护人员与模拟临床场景的标准化患者进行互动。两个阶段都进行了录音、录像,并激活了屏幕截图软件进行屏幕录制。

结果

第一阶段:研究“出声思考”阶段的数据显示,在评估患者是否患有PE诊断方面,对Wells工具总体持积极态度。受试者将该工具描述为“组织良好”且“优于临床判断”。进行了一些更改,以改善该工具在EHR中的放置位置,使其在决策、自动填充框以及最小化点击疲劳方面达到最佳状态。第二阶段:纳入第一阶段指出的更改后,参与者注意到了工具的改进。屏幕之间的切换减少了,他们拥有完成该工具所需的所有临床信息,并且能够高效地完成患者就诊。然而,触发该工具的确切位置仍存在争议。

结论

本研究在对将在急诊室环境中实施的CDS工具进行可用性评估时,成功地将“出声思考”协议分析与“近似实时”临床模拟相结合。这两种方法在评估CDS工具方面都被证明是有用的,并使我们能够优化工具的可用性和工作流程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8570/4797671/d195a782bffa/humanfactors_v2i2e14_fig1.jpg

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