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Association between evidence-based training and clinician proficiency in electronic health record use.

Publication ,  Journal Article
Hollister-Meadows, L; Richesson, RL; De Gagne, J; Rawlins, N
Published in: Journal of the American Medical Informatics Association : JAMIA
March 2021

The purpose of the study was to determine if association exists between evidence-based provider training and clinician proficiency in electronic health record (EHR) use and if so, which EHR use metrics and vendor-defined indices exhibited association.We studied ambulatory clinicians' EHR use data published in the Epic Systems Signal report to assess proficiency between training participants (n = 133) and nonparticipants (n = 14). Data were collected in May 2019 and November 2019 on nonsurgeon clinicians from 6 primary care, 7 urgent care, and 27 specialty care clinics. EHR use training occurred from August 5 to August 15, 2019, prior to EHR upgrade and organizational instance alignment. Analytics performed were descriptive statistics, paired t-tests, multivariate correlations, and hierarchal multiple regression.For number of appointments per 30-day reporting period, trained clinicians sustained an average increase of 16 appointments (P < .05), whereas nontrained clinicians incurred a decrease of 8 appointments. Only the trained clinician group achieved postevent improvement in the vendor-defined Proficiency score with an effect size characterized as moderate to large (dCohen = 0.625).Controversies exist on the return of investment from formal EHR training for clinician users. Previously published literature has mostly focused on qualitative data indicators of EHR training success. The findings of our EHR use training study identified EHR use metrics and vendor-defined indices with the capacity for translation into productivity and generated revenue measurements.One EHR use metric and 1 vendor-defined index indicated improved proficiency among trained clinicians.

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Published In

Journal of the American Medical Informatics Association : JAMIA

DOI

EISSN

1527-974X

ISSN

1067-5027

Publication Date

March 2021

Volume

28

Issue

4

Start / End Page

824 / 831

Related Subject Headings

  • Washington
  • Regression Analysis
  • Professional Competence
  • Physicians
  • Physician Assistants
  • Nurse Practitioners
  • Medical Informatics
  • Medical Informatics
  • Humans
  • Evidence-Based Practice
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hollister-Meadows, L., Richesson, R. L., De Gagne, J., & Rawlins, N. (2021). Association between evidence-based training and clinician proficiency in electronic health record use. Journal of the American Medical Informatics Association : JAMIA, 28(4), 824–831. https://doi.org/10.1093/jamia/ocaa333
Hollister-Meadows, Laura, Rachel L. Richesson, Jennie De Gagne, and Neil Rawlins. “Association between evidence-based training and clinician proficiency in electronic health record use.Journal of the American Medical Informatics Association : JAMIA 28, no. 4 (March 2021): 824–31. https://doi.org/10.1093/jamia/ocaa333.
Hollister-Meadows L, Richesson RL, De Gagne J, Rawlins N. Association between evidence-based training and clinician proficiency in electronic health record use. Journal of the American Medical Informatics Association : JAMIA. 2021 Mar;28(4):824–31.
Hollister-Meadows, Laura, et al. “Association between evidence-based training and clinician proficiency in electronic health record use.Journal of the American Medical Informatics Association : JAMIA, vol. 28, no. 4, Mar. 2021, pp. 824–31. Epmc, doi:10.1093/jamia/ocaa333.
Hollister-Meadows L, Richesson RL, De Gagne J, Rawlins N. Association between evidence-based training and clinician proficiency in electronic health record use. Journal of the American Medical Informatics Association : JAMIA. 2021 Mar;28(4):824–831.
Journal cover image

Published In

Journal of the American Medical Informatics Association : JAMIA

DOI

EISSN

1527-974X

ISSN

1067-5027

Publication Date

March 2021

Volume

28

Issue

4

Start / End Page

824 / 831

Related Subject Headings

  • Washington
  • Regression Analysis
  • Professional Competence
  • Physicians
  • Physician Assistants
  • Nurse Practitioners
  • Medical Informatics
  • Medical Informatics
  • Humans
  • Evidence-Based Practice