Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics

Courtney A. Denton, Hiral C. Soni, Thomas G. Kannampallil, Anna Serrichio, Jason S. Shapiro, Stephen Traub, Vimla L. Patel

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Objective Over the last decade, electronic health records (EHRs) have shaped clinical practice. In this article, we investigated the perceived effects of EHR use on clinical workflow and meaningful use (MU) performance metrics. Materials and Methods Semistructured interviews were conducted with 20 (n = 20) physicians at two urban emergency departments. Interview questions focused on time spent on EHR use, changes in clinical practices with EHR use, and the effect of MU performance metrics on clinical workflow. Qualitative coding using grounded theory and descriptive analyses were performed to provide descriptive insights. Results Physicians reported that EHRs improved their clinical workflow, especially on MU-related activities including door-to-doctor time and admit decision time. EHR use also affected physicians work efficiency, quality of care provided, and overall patient safety. Conclusion Physicians' perception of EHRs is likely to influence their practices. With negative perceptions of EHR usability problems, positive aspects of EHR use, including the influence on MU performance metrics, may be overridden.

Original languageEnglish (US)
Pages (from-to)725-733
Number of pages9
JournalApplied Clinical Informatics
Volume9
Issue number3
DOIs
StatePublished - Jul 12 2018

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Keywords

  • clinical performance
  • EHR
  • emergency department
  • meaningful use
  • physician perception

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

Cite this

Denton, C. A., Soni, H. C., Kannampallil, T. G., Serrichio, A., Shapiro, J. S., Traub, S., & Patel, V. L. (2018). Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics. Applied Clinical Informatics, 9(3), 725-733. https://doi.org/10.1055/s-0038-1668553