Houston VA HSR&D Center of Excellence and The Center of Inquiry to Improve Outpatient Safety Through Effective Electronic Communication, Michael E DeBakey Veterans Affairs Medical Center and the Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Implement Sci. 2009 Sep 25;4:62. doi: 10.1186/1748-5908-4-62.
Health information technology and electronic medical records (EMRs) are potentially powerful systems-based interventions to facilitate diagnosis and treatment because they ensure the delivery of key new findings and other health related information to the practitioner. However, effective communication involves more than just information transfer; despite a state of the art EMR system, communication breakdowns can still occur. [1-3] In this project, we will adapt a model developed by the Systems Engineering Initiative for Patient Safety (SEIPS) to understand and improve the relationship between work systems and processes of care involved with electronic communication in EMRs. We plan to study three communication activities in the Veterans Health Administration's (VA) EMR: electronic communication of abnormal imaging and laboratory test results via automated notifications (i.e., alerts); electronic referral requests; and provider-to-pharmacy communication via computerized provider order entry (CPOE).
Our specific aim is to propose a protocol to evaluate the systems and processes affecting outcomes of electronic communication in the computerized patient record system (related to diagnostic test results, electronic referral requests, and CPOE prescriptions) using a human factors engineering approach, and hence guide the development of interventions for work system redesign.
This research will consist of multiple qualitative methods of task analysis to identify potential sources of error related to diagnostic test result alerts, electronic referral requests, and CPOE; this will be followed by a series of focus groups to identify barriers, facilitators, and suggestions for improving the electronic communication system. Transcripts from all task analyses and focus groups will be analyzed using methods adapted from grounded theory and content analysis.
健康信息技术和电子病历(EMR)是一种潜在的强大的基于系统的干预措施,可以促进诊断和治疗,因为它们确保将关键的新发现和其他与健康相关的信息提供给医生。然而,有效的沟通不仅仅是信息的传递;尽管有一个最先进的 EMR 系统,沟通仍然可能会出现问题。[1-3]在这个项目中,我们将改编患者安全系统工程倡议(SEIPS)开发的模型,以了解和改善与 EMR 中电子通信相关的工作系统和护理流程之间的关系。我们计划在退伍军人健康管理局(VA)的 EMR 中研究三种通信活动:通过自动化通知(即警报)进行异常影像和实验室测试结果的电子通信;电子转诊请求;以及通过计算机化医嘱录入(CPOE)进行医生与药剂师之间的通信。
我们的具体目标是提出一项使用人因工程方法评估影响计算机化患者记录系统中电子通信结果(与诊断测试结果、电子转诊请求和 CPOE 处方相关)的系统和流程的协议,并据此指导工作系统重新设计的干预措施的开发。
这项研究将包括多项定性任务分析方法,以确定与诊断测试结果警报、电子转诊请求和 CPOE 相关的潜在错误源;然后进行一系列焦点小组讨论,以确定电子通信系统的障碍、促进因素和改进建议。所有任务分析和焦点小组的记录将使用源自扎根理论和内容分析的方法进行分析。