Lessons Learned Using Rapid Human Factors Methods at Multiple Health Care Facilities

Author:

Maddox Kyle1,Chumbler Neale R.2

Affiliation:

1. Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs, Washington, District of Columbia, USA

2. Department of Diagnostic and Health Sciences, College of Health Professions, The University of Tennessee Health Science Center, Memphis, Tennessee, USA

Abstract

This paper describes how the Veterans Health Administration (VHA), Office of Health Informatics (OHI) Human Systems Integration (HSI) team of human factors practitioners led a broad, multidisciplinary team to conduct a series of contextual inquiries at sites newly transitioned to Oracle Health Millennium, VHA’s new electronic health record (EHR)a at the request of VHA leadership. The team utilized contextual inquiry methods and principles of discount usability to identify system performance, workflow, and usability barriers for end users at live sites post-implementation of the new EHR. The VHA OHI and the VHA Electronic Health Record Modernization Integration Office (OEHRM IO) formed a team known as the Technical Get-Well Workstream to conduct rapid, semi-structured interviews and observations of clinical end users at several post-implementation VHA facilities to gather system performance and qualitative data documenting the end user’s experiences with the EHR. After each visit to the facilities, the team analyzed the data to identify core findings and make recommendations for remediation. The team produced user experience maps with collected data to visualize experienced system performance concerns. A key contributor to these efforts continued success is the application of discount usability methods to refine the scope and techniques of onsite data collection. This novel method ensures a carefully targeted scope, focusing on a small number of end user participants by asking targeted questions developed in advance, while at the same time capturing data during short interview and observation windows. The team continuously refined its method via after action reviews, lessons learned journals, and a strong practice committee, including study planning, logistics, onsite data collection, analysis, and reporting to reduce burden on hosting facilities and clinical participants.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3