Literature DB >> 32016394

Have you got the time? Challenges using vendor electronic health record metrics of provider efficiency.

Jonathan D Hron1,2, Eli Lourie3,4.   

Abstract

The rise of clinician burnout has been correlated with the increased adoption of electronic health records (EHRs). Some vendors have used data entry logs to measure the amount of time spent using the EHR and have developed metrics of provider efficiency. Initial attempts to utilize these data have proven difficult as it is not always apparent whether variations reflect provider behavior or simply the metric definitions. Metric definitions are also updated intermittently without warning, making longitudinal assessment problematic. Because the metrics are based on proprietary algorithms, they are impossible to validate without costly time-motion studies and are also difficult to compare across institutions and vendors. Clinical informaticians must partner with vendors in order to develop industry standards of EHR use, which could then be used to examine the impact of EHRs on clinician burnout.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  Electronic health record; physician burnout; provider efficiency

Year:  2020        PMID: 32016394      PMCID: PMC7647287          DOI: 10.1093/jamia/ocz222

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


  5 in total

1.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

2.  Physician stress and burnout: the impact of health information technology.

Authors:  Rebekah L Gardner; Emily Cooper; Jacqueline Haskell; Daniel A Harris; Sara Poplau; Philip J Kroth; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2019-02-01       Impact factor: 4.497

3.  Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause?

Authors:  N Lance Downing; David W Bates; Christopher A Longhurst
Journal:  Ann Intern Med       Date:  2018-05-08       Impact factor: 25.391

4.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Authors:  Brian G Arndt; John W Beasley; Michelle D Watkinson; Jonathan L Temte; Wen-Jan Tuan; Christine A Sinsky; Valerie J Gilchrist
Journal:  Ann Fam Med       Date:  2017-09       Impact factor: 5.166

5.  Designing An Individualized EHR Learning Plan For Providers.

Authors:  Lindsay A Stevens; Yumi T DiAngi; Jonathan D Schremp; Monet J Martorana; Roberta E Miller; Tzielan C Lee; Natalie M Pageler
Journal:  Appl Clin Inform       Date:  2017-12-20       Impact factor: 2.342

  5 in total
  11 in total

1.  Hot topics in clinical informatics.

Authors:  Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

2.  Predicting physician burnout using clinical activity logs: Model performance and lessons learned.

Authors:  Sunny S Lou; Hanyang Liu; Benjamin C Warner; Derek Harford; Chenyang Lu; Thomas Kannampallil
Journal:  J Biomed Inform       Date:  2022-02-05       Impact factor: 6.317

3.  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

4.  An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams.

Authors:  Bryan D Steitz; Kim M Unertl; Mia A Levy
Journal:  Appl Clin Inform       Date:  2021-09-15       Impact factor: 2.762

5.  Temporal Associations Between EHR-Derived Workload, Burnout, and Errors: a Prospective Cohort Study.

Authors:  Sunny S Lou; Daphne Lew; Derek R Harford; Chenyang Lu; Bradley A Evanoff; Jennifer G Duncan; Thomas Kannampallil
Journal:  J Gen Intern Med       Date:  2022-06-16       Impact factor: 6.473

6.  Improved Medical Student Engagement with EHR Documentation following the 2018 Centers for Medicare and Medicaid Billing Changes.

Authors:  Lindsay A Stevens; Natalie M Pageler; Jin S Hahn
Journal:  Appl Clin Inform       Date:  2021-07-07       Impact factor: 2.762

7.  A Scoping Review of Health Information Technology in Clinician Burnout.

Authors:  Danny T Y Wu; Catherine Xu; Abraham Kim; Shwetha Bindhu; Kenneth E Mah; Mark H Eckman
Journal:  Appl Clin Inform       Date:  2021-07-07       Impact factor: 2.762

Review 8.  Measuring success: perspectives from three optimization programs on assessing impact in the age of burnout.

Authors:  Eli M Lourie; Lindsay A Stevens; Emily C Webber
Journal:  JAMIA Open       Date:  2020-12-05

9.  Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis.

Authors:  Edward R Melnick; Shawn Y Ong; Allan Fong; Vimig Socrates; Raj M Ratwani; Bidisha Nath; Michael Simonov; Anup Salgia; Brian Williams; Daniel Marchalik; Richard Goldstein; Christine A Sinsky
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

10.  Novel Nonproprietary Measures of Ambulatory Electronic Health Record Use Associated with Physician Work Exhaustion.

Authors:  Amrita Sinha; Tait D Shanafelt; Mickey Trockel; Hanhan Wang; Christopher Sharp
Journal:  Appl Clin Inform       Date:  2021-07-14       Impact factor: 2.762

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