Healthcare Workers' Perceptions of Information in the Electronic Health Record

Author:

Russ Alissa L.12,Saleem Jason J.,Justice Connie F.123,Hagg Heather12,Woodbridge Peter A.45,Doebbeling Bradley N.126

Affiliation:

1. VA HSR&D Center on Implementing Evidence-Based Practice, Roudebush VAMC, Indianapolis, IN;

2. Indiana University (IU) Center for Health Services & Outcomes Research, Regenstrief Institute Indianapolis, IN;

3. Department of Computer Information Technology, IUPUI, Indianapolis, IN;

4. VA Nebraska Western Iowa Heath Care System, Omaha, NE;

5. University of Nebraska Medical Center College of Public Health, Omaha, NE;

6. Department of Medicine, IU School of Medicine, Indianapolis, IN.

Abstract

Electronic health record (EHR) systems and health information technology (IT) hold unrealized potential for improving the quality, continuity, and safety of medical care; they can also introduce new gaps in care and present unique challenges for healthcare workers. We conducted 14 key informant, semi-structured interviews at a large Veterans Affairs Medical Center and asked healthcare employees why paper use persists despite a fully implemented EHR. In this investigation, we performed a secondary analysis on interview data to identify characteristics of information technology (IT) that are important to support healthcare workflow. As a result of this study, 17 distinct information characteristics emerged; in this document, we provide detail on five characteristics that were often cited as desirable for workflow but insufficiently supported by health IT: 1) customizable, 2) prioritized, 3) trendable, 4) locatable, and 5) accessible. Results from this study reveal key electronic information characteristics for healthcare workflow and have implications for patient safety and future health IT designs.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Critical care information display approaches and design frameworks: A systematic review and meta-analysis;Journal of Biomedical Informatics;2019

2. Toward Designing Information Display to Support Critical Care;Applied Clinical Informatics;2016-10

3. Eye-Tracking and Retrospective Verbal Protocol to Support Information Systems Design;Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care;2013-06

4. VA Health Information Technology;Advances in Human Factors and Ergonomics Series;2010-06-11

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