Literature DB >> 33899105

Measuring time clinicians spend using EHRs in the inpatient setting: a national, mixed-methods study.

Genna R Cohen1, Jessica Boi2, Christian Johnson3, Llew Brown1, Vaishali Patel3.   

Abstract

OBJECTIVE: To understand hospitals' use of EHR audit-log-based measures to address burden associated with inpatient EHR use.
MATERIALS AND METHODS: Using mixed methods, we analyzed 2018 American Hospital Association Information Technology Supplement Survey data (n = 2864 hospitals; 64% response rate) to characterize measures used and provided by EHR vendors to track clinician time spent documenting. We interviewed staff from the top 3 EHR vendors that provided these measures. Multivariable analyses identified variation in use of the measures among hospitals with these 3 vendors.
RESULTS: 53% of hospitals reported using EHR data to track clinician time documenting, compared to 68% of the hospitals using the EHR from the top 3 vendors. Among hospitals with EHRs from these vendors, usage was significantly lower among rural hospitals and independent hospitals (P < .05). Two of these vendors provided measures of time spent doing specific tasks while the third measured an aggregate of auditable activities. Vendors varied in the underlying data used to create measures, measure specification, and data displays. DISCUSSION: Tools to track clinicians' documentation time are becoming more available. The measures provided differ across vendors and disparities in use exist across hospitals. Increasing the specificity of standards underlying the data would support a common set of core measures making these measures more widely available.
CONCLUSION: Although half of US hospitals use measures of time spent in the EHR derived from EHR generated data, work remains to make such measures and analyses more broadly available to all hospitals and to increase its utility for national burden measurement.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EHR; Metadata; audit log; hospital; provider burden

Mesh:

Year:  2021        PMID: 33899105      PMCID: PMC8324233          DOI: 10.1093/jamia/ocab042

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  9 in total

1.  Physicians' Well-Being Linked To In-Basket Messages Generated By Algorithms In Electronic Health Records.

Authors:  Ming Tai-Seale; Ellis C Dillon; Yan Yang; Robert Nordgren; Ruth L Steinberg; Teresa Nauenberg; Tim C Lee; Amy Meehan; Jinnan Li; Albert Solomon Chan; Dominick L Frosch
Journal:  Health Aff (Millwood)       Date:  2019-07       Impact factor: 6.301

2.  Uncovering differences in interoperability across hospital size.

Authors:  Yuriy Pylypchuk; Carla S Alvarado; Vaishali Patel; Talisha Searcy
Journal:  Healthc (Amst)       Date:  2019-04-16

3.  Variation in Physicians' Electronic Health Record Documentation and Potential Patient Harm from That Variation.

Authors:  Genna R Cohen; Charles P Friedman; Andrew M Ryan; Caroline R Richardson; Julia Adler-Milstein
Journal:  J Gen Intern Med       Date:  2019-06-10       Impact factor: 5.128

4.  Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.

Authors:  Adam Rule; Michael F Chiang; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians.

Authors:  Julia Adler-Milstein; Wendi Zhao; Rachel Willard-Grace; Margae Knox; Kevin Grumbach
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

6.  Physician Time Spent Using the Electronic Health Record During Outpatient Encounters: A Descriptive Study.

Authors:  J Marc Overhage; David McCallie
Journal:  Ann Intern Med       Date:  2020-01-14       Impact factor: 25.391

7.  Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.

Authors:  Julia Adler-Milstein; A Jay Holmgren; Peter Kralovec; Chantal Worzala; Talisha Searcy; Vaishali Patel
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

8.  Metrics for assessing physician activity using electronic health record log data.

Authors:  Christine A Sinsky; Adam Rule; Genna Cohen; Brian G Arndt; Tait D Shanafelt; Christopher D Sharp; Sally L Baxter; Ming Tai-Seale; Sherry Yan; You Chen; Julia Adler-Milstein; Michelle Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

9.  Measures of electronic health record use in outpatient settings across vendors.

Authors:  Sally L Baxter; Nate C Apathy; Dori A Cross; Christine Sinsky; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

  9 in total
  1 in total

1.  Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis.

Authors:  Oliver T Nguyen; Kea Turner; Nate C Apathy; Tanja Magoc; Karim Hanna; Lisa J Merlo; Christopher A Harle; Lindsay A Thompson; Eta S Berner; Sue S Feldman
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

  1 in total

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