Applied Clinical Informatics, Inhaltsverzeichnis

Appl Clin Inform 2023; 14(04): 632-643
DOI: 10.1055/s-0043-1770900

Research Article

A Multiyear Survey Evaluating Clinician Electronic Health Record Satisfaction

Pamela M. Garabedian

¹Clinical Quality and IS Analysis, Mass General Brigham, Inc., Somerville, Massachusetts, United States

,

Angela Rui

²Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

,

Lynn A. Volk

¹Clinical Quality and IS Analysis, Mass General Brigham, Inc., Somerville, Massachusetts, United States

,

Bridget A. Neville

²Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

,

Stuart R. Lipsitz

²Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

³Harvard Medical School, Harvard University, Ariadne Labs, Boston, Massachusetts, United States

,

Michael J. Healey

²Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

⁴Harvard Medical School, Boston, Massachusetts, United States

,

David W. Bates

²Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States

⁴Harvard Medical School, Boston, Massachusetts, United States

⁵Harvard School of Public Health, Harvard University, Boston, Massachusetts

› Institutsangaben

Abstract

Objectives We assessed how clinician satisfaction with a vendor electronic health record (EHR) changed over time in the 4 years following the transition from a homegrown EHR system to identify areas for improvement.

Methods We conducted a multiyear survey of clinicians across a large health care system after transitioning to a vendor EHR. Eligible clinicians from the first institution to transition received a survey invitation by email in fall 2016 and then eligible clinicians systemwide received surveys in spring 2018 and spring 2019. The survey included items assessing ease/difficulty of completing tasks and items assessing perceptions of the EHR's value, usability, and impact. One item assessing overall satisfaction and one open-ended question were included. Frequencies and means were calculated, and comparison of means was performed between 2018 and 2019 on all clinicians. A multivariable generalized linear model was performed to predict the outcome of overall satisfaction.

Results Response rates for the surveys ranged from 14 to 19%. The mean response from 3 years of surveys for one institution, Brigham and Women's Hospital, increased for overall satisfaction between 2016 (2.85), 2018 (3.01), and 2019 (3.21, p < 0.001). We found no significant differences in mean response for overall satisfaction between all responders of the 2018 survey (3.14) and those of the 2019 survey (3.19). Systemwide, tasks rated the most difficult included “Monitoring patient medication adherence,” “Identifying when a referral has not been completed,” and “Making a list of patients based on clinical information (e.g., problem, medication).” Clinicians disagreed the most with “The EHR helps me focus on patient care rather than the computer” and “The EHR allows me to complete tasks efficiently.”

Conclusion Survey results indicate room for improvement in clinician satisfaction with the EHR. Usability of EHRs should continue to be an area of focus to ease clinician burden and improve clinician experience.

Keywords

Keywords

user-centered design - burnout - quality improvement - efficiency

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