Process Mining and Ethnography Study of Medication Reconciliation Tasks

AMIA Annu Symp Proc. 2020 Mar 4:2019:1167-1176. eCollection 2019.

Abstract

We studied the medication reconciliation (MedRec) task through analysis of computer logs and ethnographic data. Time spent by healthcare providers performing MedRec was compared between two different EHR systems used at four different regional perioperative settings. Only one of the EHRs used at two settings generated computer logs that supported automatic discovery of the MedRec task. At those two settings, 53 providers generated 383 MedRec instances. Findings from the computer logs were validated with ethnographic data, leading to the identification and removal of 47 outliers. Without outliers, one of the settings had slightly smaller mean (SD) time in seconds 67.3 (40.2) compared with the other, 92.1 (25). The difference in time metrics was statistically significant (p<.001). Reusability of an existing task-based analytic method allowed for rapid study of EHR-based workflow and task.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electronic Health Records*
  • Health Personnel*
  • Humans
  • Medication Reconciliation*
  • Outpatient Clinics, Hospital
  • Perioperative Care
  • Time Factors
  • Time and Motion Studies
  • User-Computer Interface
  • Video Recording
  • Workflow*