| Literature DB >> 32308914 |
Vaishak Ramesh Vellore1, M Adela Grando2, Benjamin Duncan2, David R Kaufman2, Stephanie K Furniss2,3, Bradley N Doebbeling2,4, Karl A Poterack3,5, Timothy Miksch3, Richard A Helmers6.
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. ©2019 AMIA - All rights reserved.Year: 2020 PMID： 32308914 PMCID： PMC7153070
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076