Literature DB >> 33954272

Impact of Electronic Health Record Implementation on Ophthalmology Trainee Time Expenditures.

Helena E Gali1,2, Sally L Baxter1,2, Lina Lander2, Abigail E Huang3, Marlene Millen2, Robert El-Kareh2, Eric Nudleman1, Daniel L Chao1, Shira L Robbins1, Christopher W D Heichel1, Andrew S Camp1, Bobby S Korn1, Jeffrey E Lee1, Don O Kikkawa1, Christopher A Longhurst2, Michael F Chiang3,4, Michelle R Hribar3,4, Lucila Ohno-Machado2,5.   

Abstract

OBJECTIVE: Electronic health records (EHRs) are widely adopted, but the time demands of EHR use on ophthalmology trainees are not well understood. This study evaluated ophthalmology trainee time spent on clinical activities in an outpatient clinic undergoing EHR implementation.
DESIGN: Prospective, manual time-motion observations of ophthalmology trainees in 2018. PARTICIPANTS: Eleven ophthalmology residents and fellows observed during 156 patient encounters.
METHODS: Prospective time-motion study of ophthalmology trainees 2 weeks before and 6 weeks after EHR implementation in an academic ophthalmology department. Manual time-motion observations were conducted for 11 ophthalmology trainees in 6 subspecialty clinics during 156 patient encounters. Time spent documenting, examining, and talking with patients were recorded. Factors influencing time requirements were evaluated using linear mixed effects models. MAIN OUTCOME MEASURES: Total time spent by ophthalmology residents and fellows per patient, time spent on documentation, examination, and talking with patients.
RESULTS: Seven ophthalmology residents and four ophthalmology fellows with mean (standard deviation) postgraduate year of 3.7 (1.2) were observed during 156 patient encounters. Using paper charts, mean total time spent on each patient was 11.6 (6.5) minutes, with 5.4 (3.5) minutes spent documenting (48%). After EHR implementation, mean total time spent on each patient was 11.8 (6.9) minutes, with 6.8 (4.7) minutes spent documenting (57%). Total time expenditure per patient did not significantly change after EHR implementation (+0.17 minutes, 95% confidence interval [CI] for difference in means: -2.78, 2.45; p = 0.90). Documentation time did not change significantly after EHR implementation in absolute terms (+1.42 minutes, 95% CI: -3.13, 0.29; p = 0.10), but was significantly greater as a proportion of total time (48% on paper to 57% on EHR; +9%, 95% CI: 2.17, 15.83; p = 0.011).
CONCLUSION: Total time spent per patient and absolute time spent on documentation was not significantly different whether ophthalmology trainees used paper charts or the recently implemented EHR. Percentage of total time spent on documentation increased significantly with early EHR use. Evaluating EHR impact on ophthalmology trainees may improve understanding of how trainees learn to use the EHR and may shed light on strategies to address trainee burnout.

Entities:  

Keywords:  burnout; documentation time; electronic health record; examination time; ophthalmology trainee; paper chart; talking time; time-motion

Year:  2019        PMID: 33954272      PMCID: PMC8095731          DOI: 10.1055/s-0039-3401986

Source DB:  PubMed          Journal:  J Acad Ophthalmol        ISSN: 2475-4757


  38 in total

1.  Intern and Resident Workflow Patterns on Pediatric Inpatient Units: A Multicenter Time-Motion Study.

Authors:  Amy J Starmer; Lauren Destino; Catherine S Yoon; Christopher P Landrigan
Journal:  JAMA Pediatr       Date:  2015-12       Impact factor: 16.193

2.  Teaching Electronic Health Record Documentation to Medical Students.

Authors:  Valerie E Niedermier
Journal:  J Grad Med Educ       Date:  2017-02

3.  Exploring the Association Between Electronic Health Record Use and Burnout Among Psychiatry Residents and Faculty: a Pilot Survey Study.

Authors:  Nicholas M Domaney; John Torous; William E Greenberg
Journal:  Acad Psychiatry       Date:  2018-05-21

4.  Medical education in the electronic medical record (EMR) era: benefits, challenges, and future directions.

Authors:  Michael J Tierney; Natalie M Pageler; Madelyn Kahana; Julie L Pantaleoni; Christopher A Longhurst
Journal:  Acad Med       Date:  2013-06       Impact factor: 6.893

5.  Taking Care of Our Own: A Multispecialty Study of Resident and Program Director Perspectives on Contributors to Burnout and Potential Interventions.

Authors:  Emily G Holmes; AnnaMarie Connolly; Karen T Putnam; Kenan M Penaskovic; Clark R Denniston; Leslie H Clark; David R Rubinow; Samantha Meltzer-Brody
Journal:  Acad Psychiatry       Date:  2016-07-19

6.  Patient satisfaction with time spent with their physician.

Authors:  D A Gross; S J Zyzanski; E A Borawski; R D Cebul; K C Stange
Journal:  J Fam Pract       Date:  1998-08       Impact factor: 0.493

7.  Electronic health records and resident workflow: a time-motion study of otolaryngology residents.

Authors:  Andrew J Victores; Kenneth Coggins; Mas Takashima
Journal:  Laryngoscope       Date:  2014-07-24       Impact factor: 3.325

8.  Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis).

Authors:  Michael F Chiang; Sarah Read-Brown; Daniel C Tu; Dongseok Choi; David S Sanders; Thomas S Hwang; Steven Bailey; Daniel J Karr; Elizabeth Cottle; John C Morrison; David J Wilson; Thomas R Yackel
Journal:  Trans Am Ophthalmol Soc       Date:  2013-09

9.  The effect of electronic health record software design on resident documentation and compliance with evidence-based medicine.

Authors:  Yasaira Rodriguez Torres; Jordan Huang; Melanie Mihlstin; Mark S Juzych; Heidi Kromrei; Frank S Hwang
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

10.  Association of the Usability of Electronic Health Records With Cognitive Workload and Performance Levels Among Physicians.

Authors:  Lukasz M Mazur; Prithima R Mosaly; Carlton Moore; Lawrence Marks
Journal:  JAMA Netw Open       Date:  2019-04-05
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