Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis. (4th May 2021)
- Record Type:
- Journal Article
- Title:
- Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis. (4th May 2021)
- Main Title:
- Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis
- Authors:
- Melnick, Edward R
Ong, Shawn Y
Fong, Allan
Socrates, Vimig
Ratwani, Raj M
Nath, Bidisha
Simonov, Michael
Salgia, Anup
Williams, Brian
Marchalik, Daniel
Goldstein, Richard
Sinsky, Christine A - Abstract:
- Abstract: Objective: To derive 7 proposed core electronic health record (EHR) use metrics across 2 healthcare systems with different EHR vendor product installations and examine factors associated with EHR time. Materials and Methods: A cross-sectional analysis of ambulatory physicians EHR use across the Yale-New Haven and MedStar Health systems was performed for August 2019 using 7 proposed core EHR use metrics normalized to 8 hours of patient scheduled time. Results: Five out of 7 proposed metrics could be measured in a population of nonteaching, exclusively ambulatory physicians. Among 573 physicians (Yale-New Haven N = 290, MedStar N = 283) in the analysis, median EHR-Time8 was 5.23 hours. Gender, additional clinical hours scheduled, and certain medical specialties were associated with EHR-Time8 after adjusting for age and health system on multivariable analysis. For every 8 hours of scheduled patient time, the model predicted these differences in EHR time ( P < .001, unless otherwise indicated): female physicians +0.58 hours; each additional clinical hour scheduled per month −0.01 hours; practicing cardiology −1.30 hours; medical subspecialties −0.89 hours (except gastroenterology, P = .002); neurology/psychiatry −2.60 hours; obstetrics/gynecology −1.88 hours; pediatrics −1.05 hours ( P = .001); sports/physical medicine and rehabilitation −3.25 hours; and surgical specialties −3.65 hours. Conclusions: For every 8 hours of scheduled patient time, ambulatory physiciansAbstract: Objective: To derive 7 proposed core electronic health record (EHR) use metrics across 2 healthcare systems with different EHR vendor product installations and examine factors associated with EHR time. Materials and Methods: A cross-sectional analysis of ambulatory physicians EHR use across the Yale-New Haven and MedStar Health systems was performed for August 2019 using 7 proposed core EHR use metrics normalized to 8 hours of patient scheduled time. Results: Five out of 7 proposed metrics could be measured in a population of nonteaching, exclusively ambulatory physicians. Among 573 physicians (Yale-New Haven N = 290, MedStar N = 283) in the analysis, median EHR-Time8 was 5.23 hours. Gender, additional clinical hours scheduled, and certain medical specialties were associated with EHR-Time8 after adjusting for age and health system on multivariable analysis. For every 8 hours of scheduled patient time, the model predicted these differences in EHR time ( P < .001, unless otherwise indicated): female physicians +0.58 hours; each additional clinical hour scheduled per month −0.01 hours; practicing cardiology −1.30 hours; medical subspecialties −0.89 hours (except gastroenterology, P = .002); neurology/psychiatry −2.60 hours; obstetrics/gynecology −1.88 hours; pediatrics −1.05 hours ( P = .001); sports/physical medicine and rehabilitation −3.25 hours; and surgical specialties −3.65 hours. Conclusions: For every 8 hours of scheduled patient time, ambulatory physicians spend more than 5 hours on the EHR. Physician gender, specialty, and number of clinical hours practicing are associated with differences in EHR time. While audit logs remain a powerful tool for understanding physician EHR use, additional transparency, granularity, and standardization of vendor-derived EHR use data definitions are still necessary to standardize EHR use measurement. … (more)
- Is Part Of:
- Journal of the American Medical Informatics Association. Volume 28:Number 7(2021)
- Journal:
- Journal of the American Medical Informatics Association
- Issue:
- Volume 28:Number 7(2021)
- Issue Display:
- Volume 28, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 28
- Issue:
- 7
- Issue Sort Value:
- 2021-0028-0007-0000
- Page Start:
- 1383
- Page End:
- 1392
- Publication Date:
- 2021-05-04
- Subjects:
- Medical informatics -- Periodicals
Information Services -- Periodicals
Medical Informatics -- Periodicals
Médecine -- Informatique -- Périodiques
Informatica
Geneeskunde
Informatique médicale
Computer network resources
Electronic journals
610.285 - Journal URLs:
- http://jamia.bmj.com/ ↗
http://www.jamia.org ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=76 ↗
http://www.sciencedirect.com/science/journal/10675027 ↗
http://jamia.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/en/ ↗ - DOI:
- 10.1093/jamia/ocab011 ↗
- Languages:
- English
- ISSNs:
- 1067-5027
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4689.025000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25312.xml