Clinic Workflow Simulations using Secondary EHR Data

Michelle Hribar, David Biermann, Sarah Read-Brown, Leah Reznick, Lorinna Lombardi, Mansi Parikh, Winston Chamberlain, Thomas Yackel, Michael Chiang

Research output: Contribution to journalArticle

3 Scopus citations


Clinicians today face increased patient loads, decreased reimbursements and potential negative productivity impacts of using electronic health records (EHR), but have little guidance on how to improve clinic efficiency. Discrete event simulation models are powerful tools for evaluating clinical workflow and improving efficiency, particularly when they are built from secondary EHR timing data. The purpose of this study is to demonstrate that these simulation models can be used for resource allocation decision making as well as for evaluating novel scheduling strategies in outpatient ophthalmology clinics. Key findings from this study are that: 1) secondary use of EHR timestamp data in simulation models represents clinic workflow, 2) simulations provide insight into the best allocation of resources in a clinic, 3) simulations provide critical information for schedule creation and decision making by clinic managers, and 4) simulation models built from EHR data are potentially generalizable.

Original languageEnglish (US)
Pages (from-to)647-656
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
StatePublished - 2016

ASJC Scopus subject areas

  • Medicine(all)

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