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Figure.  Daily Telemedicine Visit Share and Electronic Health Record (EHR) Time Outcomes
Daily Telemedicine Visit Share and Electronic Health Record (EHR) Time Outcomes

The plots show estimates and 95% CIs from ordinary least squares linear regression models adjusting for daily visit volume, and physician and calendar day fixed effects. N = 67 894 for all outcomes except next-day documentation time (n = 47 297). Estimates and 95% CIs for 100% telemedicine days do not reach statistical significance and exhibit wide variation due to relatively few observations; thus, they were omitted for readability.

aReference category is zero telemedicine visits.

Table.  Results for All Outcomes Stratified by Daily Telemedicine Sharea
Results for All Outcomes Stratified by Daily Telemedicine Sharea
1.
Patel  SY, Mehrotra  A, Huskamp  HA, Uscher-Pines  L, Ganguli  I, Barnett  ML.  Trends in outpatient care delivery and telemedicine during the COVID-19 pandemic in the US.   JAMA Intern Med. 2021;181(3):388-391. doi:10.1001/jamainternmed.2020.5928 PubMedGoogle ScholarCrossref
2.
Khoong  EC.  Policy considerations to ensure telemedicine equity.   Health Aff (Millwood). 2022;41(5):643-646. doi:10.1377/hlthaff.2022.00300 PubMedGoogle ScholarCrossref
3.
Tang  M, Chernew  ME, Mehrotra  A.  How emerging telehealth models challenge policymaking.   Milbank Q. 2022;100(3):650-672. doi:10.1111/1468-0009.12584 PubMedGoogle ScholarCrossref
4.
Zhong  A, Amat  MJ, Anderson  TS,  et al.  Completion of recommended tests and referrals in telehealth vs in-person visits.   JAMA Netw Open. 2023;6(11):e2343417. doi:10.1001/jamanetworkopen.2023.43417 PubMedGoogle ScholarCrossref
5.
Chen  K, Zhang  C, Jackson  HB.  Relative billing complexity of in-person versus telehealth outpatient encounters.   J Eval Clin Pract. 2023;29(6):887-892. doi:10.1111/jep.13905 PubMedGoogle ScholarCrossref
6.
Jay Holmgren  A, Thombley  R, Sinsky  CA, Adler-Milstein  J.  Changes in physician electronic health record use with the expansion of telemedicine.   JAMA Intern Med. 2023;183(12):1357-1365. doi:10.1001/jamainternmed.2023.5738 Google ScholarCrossref
Research Letter
Health Informatics
April 24, 2024

Telemedicine and In-Person Visit Modality Mix and Electronic Health Record Use in Primary Care

Author Affiliations
  • 1National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
  • 2Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC
  • 3Department of General Internal Medicine, Georgetown University School of Medicine, Washington, DC
JAMA Netw Open. 2024;7(4):e248060. doi:10.1001/jamanetworkopen.2024.8060
Introduction

Telemedicine use increased substantially during and after the COVID-19 pandemic1 and has the potential to provide low-acuity medical services at lower costs.2 However, telemedicine also levies new costs on clinicians.3 Telemedicine requires shifting care delivery workflows, as it rarely includes clinical support staff but can involve levels of patient complexity similar to in-person visits.4,5 This may increase administrative and electronic health record (EHR) burden for clinicians and increase cognitive costs as clinicians switch modalities. In a recent study,6 greater weekly telemedicine visit share was associated with increased EHR time, including after-hours time, mostly spent in documentation. Our study aimed to address 2 gaps: first, whether day-to-day changes in telemedicine share demonstrate a similar association with EHR time; and second, what changes occur in domains of EHR use not examined in previous studies (eg, medical record review, orders).

Methods

This cross-sectional study combined visit modality data with EHR active use data capturing time spent by primary care physicians (PCPs) in the Cerner EHR system from December 2021 through June 2023 at MedStar Health, a large multispecialty health system in the mid-Atlantic region. We calculated PCPs’ daily telemedicine share as the percentage of the day’s visits conducted via telemedicine and categorized this variable into 5 levels. Because we used deidentified data, this study was deemed exempt and not human participant research by the Georgetown University–MedStar Health Institutional Review Board; we followed the STROBE reporting guideline.

Telemedicine visits were identified via registration and scheduling records. We analyzed 5 measures of active EHR time for each PCP-day: total EHR time, documentation time, medical record review time, order time, and next-day documentation time (only for PCP-days with a consecutive qualifying PCP-day). We calculated descriptive statistics and ran ordinary least squares linear regression models, adjusting for visit volume and physician and calendar-day fixed effects. These models estimate the marginal within-clinician association between each telemedicine share level and our outcomes relative to zero-telemedicine days while adjusting for common temporal trends. We used R statistical software, version 3.6.3 (R Project for Statistical Computing) (tidyverse, fixest packages) for analyses, using 2-tailed hypothesis tests (α = .05).

Results

The study included 316 PCPs observed across 67 894 PCP-day observations distributed across 5 daily telemedicine share categories (zero daily telemedicine share, 44.7% of all PCP-days; ≤10% share, 17.2%; 11%-25% share, 24.8%; 26%-99% share, 11.1%; and 100% share, 2.2%); mean (SD) overall visit volume, 13.9 (7.2) visits/d (Table). All outcomes demonstrated statistically significant differences across telemedicine share levels. The mean (SD) documentation time for PCPs was 71.3 (54.3) minutes on zero-telemedicine days and 87.1 (50.0) minutes on days with up to 10% telemedicine visits. In regression analyses, days with a mix of visit modalities were associated with significantly greater time for EHR, documentation, and medical record review (Figure). Compared with zero-telemedicine days, 26% to 99% telemedicine days were associated with 14.8 (95% CI, 7.6-22.0) more minutes of active EHR time (5.6% increase, P < .001), 4.7 (95% CI, 1.2-8.3) additional documentation minutes (6.0% increase, P = .01), and 5.5 (95% CI, 2.8-8.2) additional medical record review minutes (6.2% increase, P < .001). Telemedicine share resulted in a negligible increase in order time and had no association with next-day documentation time (Figure).

Discussion

This cross-sectional study found that, during clinic days with both telemedicine and in-person visits, PCPs had 5.6% to 6.2% more EHR-based work. This work did not spill over into next-day documentation, suggesting that PCPs absorbed added time into their workload on mixed-modality days. However, we found that fully telemedicine days were not associated with EHR-based work, contrary to previous findings.6 We attribute this difference to the small sample of fully telemedicine PCP-days in our study in comparison with prior work6 (2.2% vs 16.5% of physician-weeks) as well as higher mean visit volume (13.9 visits/d vs 20 visits/wk) (Table). Greater EHR time may be due to increased multitasking during telemedicine visits, as PCPs simultaneously engage with patients and the EHR during telemedicine visits in ways that are not possible in person. This multitasking may feel more efficient and therefore may not register as “burdensome”; further research should explore whether added EHR time associated with mixed-modality days further burdens PCPs. Limitations of our study include our setting of a single health system, lack of information on visit and patient characteristics and on clinicians’ experience with telehealth tools, and lack of clinical outcomes.

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Article Information

Accepted for Publication: January 22, 2024.

Published: April 24, 2024. doi:10.1001/jamanetworkopen.2024.8060

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Apathy NC et al. JAMA Network Open.

Corresponding Author: Nate C. Apathy, PhD, National Center for Human Factors in Healthcare, MedStar Health Research Institute, 3007 Tilden St NW, Washington, DC 20008 (nca@umd.edu).

Author Contributions: Dr Apathy had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Apathy, Gomes, Ratwani.

Acquisition, analysis, or interpretation of data: Apathy, Zabala, Spaar, Krevat.

Drafting of the manuscript: Apathy.

Critical review of the manuscript for important intellectual content: Zabala, Gomes, Spaar, Krevat, Ratwani.

Statistical analysis: Apathy.

Obtained funding: Gomes, Ratwani.

Administrative, technical, or material support: Zabala, Gomes.

Conflict of Interest Disclosures: Dr Apathy reported receiving grants from the Agency for Healthcare Research and Quality (AHRQ) during the conduct of the study; personal fees from the Office of the National Coordinator for Health IT, the American Medical Association, Yale University, and the University of California–San Francisco outside the submitted work. Mr Zabala and Drs Gomes, Krevat, and Ratwani reported receiving grants from AHRQ during the conduct of the study. No other disclosures were reported.

Data Sharing Statement: See the Supplement.

References
1.
Patel  SY, Mehrotra  A, Huskamp  HA, Uscher-Pines  L, Ganguli  I, Barnett  ML.  Trends in outpatient care delivery and telemedicine during the COVID-19 pandemic in the US.   JAMA Intern Med. 2021;181(3):388-391. doi:10.1001/jamainternmed.2020.5928 PubMedGoogle ScholarCrossref
2.
Khoong  EC.  Policy considerations to ensure telemedicine equity.   Health Aff (Millwood). 2022;41(5):643-646. doi:10.1377/hlthaff.2022.00300 PubMedGoogle ScholarCrossref
3.
Tang  M, Chernew  ME, Mehrotra  A.  How emerging telehealth models challenge policymaking.   Milbank Q. 2022;100(3):650-672. doi:10.1111/1468-0009.12584 PubMedGoogle ScholarCrossref
4.
Zhong  A, Amat  MJ, Anderson  TS,  et al.  Completion of recommended tests and referrals in telehealth vs in-person visits.   JAMA Netw Open. 2023;6(11):e2343417. doi:10.1001/jamanetworkopen.2023.43417 PubMedGoogle ScholarCrossref
5.
Chen  K, Zhang  C, Jackson  HB.  Relative billing complexity of in-person versus telehealth outpatient encounters.   J Eval Clin Pract. 2023;29(6):887-892. doi:10.1111/jep.13905 PubMedGoogle ScholarCrossref
6.
Jay Holmgren  A, Thombley  R, Sinsky  CA, Adler-Milstein  J.  Changes in physician electronic health record use with the expansion of telemedicine.   JAMA Intern Med. 2023;183(12):1357-1365. doi:10.1001/jamainternmed.2023.5738 Google ScholarCrossref
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