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1.
Ann Fam Med ; 22(1): 12-18, 2024.
Article in English | MEDLINE | ID: mdl-38253499

ABSTRACT

PURPOSE: The purpose of this study is to evaluate recent trends in primary care physician (PCP) electronic health record (EHR) workload. METHODS: This longitudinal study observed the EHR use of 141 academic PCPs over 4 years (May 2019 to March 2023). Ambulatory full-time equivalency (aFTE), visit volume, and panel size were evaluated. Electronic health record time and inbox message volume were measured per 8 hours of scheduled clinic appointments. RESULTS: From the pre-COVID-19 pandemic year (May 2019 to February 2020) to the most recent study year (April 2022 to March 2023), the average time PCPs spent in the EHR per 8 hours of scheduled clinic appointments increased (+28.4 minutes, 7.8%), as did time in orders (+23.1 minutes, 58.9%), inbox (+14.0 minutes, 24.4%), chart review (+7.2 minutes, 13.0%), notes (+2.9 minutes, 2.3%), outside scheduled hours on days with scheduled appointments (+6.4 minutes, 8.2%), and on unscheduled days (+13.6 minutes, 19.9%). Primary care physicians received more patient medical advice requests (+5.4 messages, 55.5%) and prescription messages (+2.3, 19.5%) per 8 hours of scheduled clinic appointments, but fewer patient calls (-2.8, -10.5%) and results messages (-0.3, -2.7%). While total time in the EHR continued to increase in the final study year (+7.7 minutes, 2.0%), inbox time decreased slightly from the year prior (-2.2 minutes, -3.0%). Primary care physicians' average aFTE decreased 5.2% from 0.66 to 0.63 over 4 years. CONCLUSIONS: Primary care physicians' time in the EHR continues to grow. While PCPs' inbox time may be stabilizing, it is still substantially higher than pre-pandemic levels. It is imperative health systems develop strategies to change the EHR workload trajectory to minimize PCPs' occupational stress and mitigate unnecessary reductions in effective physician workforce resulting from the increased EHR burden.


Subject(s)
Electronic Health Records , Physicians, Primary Care , Humans , Longitudinal Studies , Pandemics , Workload
2.
JAMA Netw Open ; 6(6): e2320032, 2023 06 01.
Article in English | MEDLINE | ID: mdl-37342042

ABSTRACT

This cross-sectional study examines whether primary care physicians (PCPs) in the clinic part-time have reduced electronic health record (EHR) time commensurate with their clinical hours.


Subject(s)
Electronic Health Records , Physicians, Primary Care , Humans
3.
Ann Fam Med ; 21(3): 264-268, 2023.
Article in English | MEDLINE | ID: mdl-37217321

ABSTRACT

Accurately quantifying clinician time spent on electronic health record (EHR) activities outside the time scheduled with patients is critical for understanding occupational stress associated with ambulatory clinic environments. We make 3 recommendations regarding EHR workload measures that are intended to capture time working in the EHR outside time scheduled with patients, formally defined as work outside of work (WOW): (1) separate all time working in the EHR outside of time scheduled with patients from time working in the EHR during time scheduled with patients, (2) do not exclude any time before or after scheduled time with patients, and (3) encourage the EHR vendor and research communities to develop and standardize validated, vendor-agnostic methods for measuring active EHR use. Attributing all EHR work outside time scheduled with patients to WOW, regardless of when it occurs, will produce an objective and standardized measure better suited for use in efforts to reduce burnout, set policy, and facilitate research.


Subject(s)
Burnout, Professional , Occupational Stress , Humans , Workload , Electronic Health Records , Burnout, Psychological
5.
Healthc (Amst) ; 10(4): 100663, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36375356

ABSTRACT

BACKGROUND: Physician burnout is a major problem in the United States. Small studies suggest scribes can improve clinician satisfaction, but scribe programs have not been evaluated using separate control groups or structured measures of electronic health record (EHR) use. METHODS: We conducted a pre-post, non-randomized controlled evaluation of a remote scribe pilot program introduced in September 2019 in an academic primary care practice. Scribes were paired with physicians via an audio-only cellphone connection to hear and document in real-time. Physician wellness was measured with the 10-item Mini-Z and 16-item Professional Fulfillment Index. EHR use was measured using vendor-derived platforms that provide routine EHR-related data. RESULTS: 37 of 38 scribe users (97.4%) and 68 of 160 potential control physicians (42.5%) completed both pre and post intervention questionnaires. Compared with controls, scribe users had improvements in Mini-Z wellness metrics including Joyful Workplace (mean improvement 2.83, 95%CI 0.60, 5.06) and a single-item dichotomized burnout measure (OR 0.15, 95%CI 0.03, 0.71). There were significant reductions among scribe users compared to controls in total EHR time per 8 scheduled hours (-1.14 h, 95%CI -1.55, -0.72), and an increase in the percentage of orders with team contribution (10.4%, 95%CI 5.2, 15.6). These findings remained significant in adjusted analyses. CONCLUSIONS/IMPLICATIONS: A remote scribe program was associated with improvements in physician wellness and reduced EHR use. Healthcare organizations can consider scribe programs to help improve wellness among their physician workforce.


Subject(s)
Electronic Health Records , Physicians, Primary Care , Humans , United States , Personal Satisfaction , Patient Satisfaction , Surveys and Questionnaires
6.
Appl Clin Inform ; 12(3): 445-458, 2021 05.
Article in English | MEDLINE | ID: mdl-34107542

ABSTRACT

BACKGROUND: The COVID-19 pandemic led to dramatic increases in telemedicine use to provide outpatient care without in-person contact risks. Telemedicine increases options for health care access, but a "digital divide" of disparate access may prevent certain populations from realizing the benefits of telemedicine. OBJECTIVES: The study aimed to understand telemedicine utilization patterns after a widespread deployment to identify potential disparities exacerbated by expanded telemedicine usage. METHODS: We performed a cross-sectional retrospective analysis of adults who scheduled outpatient visits between June 1, 2020 and August 31, 2020 at a single-integrated academic health system encompassing a broad range of subspecialties and a large geographic region in the Upper Midwest, during a period of time after the initial surge of COVID-19 when most standard clinical services had resumed. At the beginning of this study period, approximately 72% of provider visits were telemedicine visits. The primary study outcome was whether a patient had one or more video-based visits, compared with audio-only (telephone) visits or in-person visits only. The secondary outcome was whether a patient had any telemedicine visits (video-based or audio-only), compared with in-person visits only. RESULTS: A total of 197,076 individuals were eligible (average age = 46 years, 56% females). Increasing age, rural status, Asian or Black/African American race, Hispanic ethnicity, and self-pay/uninsured status were significantly negatively associated with having a video visit. Digital literacy, measured by patient portal activation status, was significantly positively associated with having a video visit, as were Medicaid or Medicare as payer and American Indian/Alaskan Native race. CONCLUSION: Our findings reinforce previous evidence that older age, rural status, lower socioeconomic status, Asian race, Black/African American race, and Hispanic/Latino ethnicity are associated with lower rates of video-based telemedicine use. Health systems and policies should seek to mitigate such barriers to telemedicine when possible, with efforts such as digital literacy outreach and equitable distribution of telemedicine infrastructure.


Subject(s)
COVID-19/epidemiology , Health Services Accessibility/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Pandemics/statistics & numerical data , Telemedicine/statistics & numerical data , Adolescent , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Retrospective Studies , Young Adult
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