Exploration of Electronic Health Record Patterns of Emergency Physicians (2024)

Amidst continued high demand for emergency department (ED) services, staffing shortages, and an ongoing ED capacity crisis across the US, recent surveys have estimated ED physicians to have the highest rates of burnout.1 While many factors contribute to physician burnout, time spent on the electronic health record (EHR) is a known factor associated with physicians’ emotional exhaustion.2 However, the burden of the EHR for ED physicians has not been well characterized.

In this study, Iscoe et al3 seek to develop the evidence base regarding ED physicians’ EHR use, leveraging use data from 3 EDs within a single health care system in the Northeast. Based on 79 physicians who provided more than 35 000 encounters to unique patients, Iscoe et al3 found that ED physicians spent a median (IQR) of 6.82 (3.70-11.25) minutes on the EHR per encounter, with most of this time spent on EHR-based documentation. Iscoe et al3 additionally identify specific factors (handoffs, patient acuity, discharge against medical advice) associated with greater EHR time expenditure.

The estimates in the study by Iscoe et al3 are consistent with prior estimates of ED attending physician EHR time expenditure gathered through direct observation (6.5 minutes per patient encounter).4 This correspondence between audit log and observation-based estimates suggests the viability of audit log data for estimating EHR-related work in the ED, despite known limitations of this data source (eg, only captures time actively interacting with the EHR). The estimates of EHR time expenditure described in this study by Iscoe et al3 notably fall below those for ED trainees (estimated mean EHR time per patient chart of 29 minutes)5 and those of nonprocedural physicians (eg, with primary care specialists spending a mean of 19.8 minutes per encounter).6 These differences should be interpreted in the context of differential productivity expectations, with ED attending physicians likely expected to see more patients per clinical session than trainee or outpatient physician colleagues. Nevertheless, the differences in encounter-level time expenditure between ED attending physicians and other groups likely suggest a need for EHR optimization approaches uniquely tailored to the workflows and demands of ED physicians.

The study by Iscoe et al3 notably demonstrates that ED physicians spent almost 4 times as much time—a median (IQR) of 3.72 (2.15-5.88) minutes vs 1.05 (0.28-2.45) minutes—on documentation compared with EHR review. While prior studies have characterized documentation as the largest source of EHR time expenditure across specialties,7 it is unclear what the right ratio of time is for emergency medicine, where rapid integration of patients’ histories and past presentations is crucial for accurate and quick decision-making. The findings from Iscoe et al3 raise the question of whether this level of documentation burden, in addition to contributing to physician burnout, is appropriate for optimal clinical care. Iscoe et al3 also underscore the important potential of ambient documentation technologies to alleviate the burden of the EHR for physicians and potentially enable reallocation of time to activities critical for medical decision-making, such as EHR review.

Not surprisingly, the study by Iscoe et al3 also found that after adjusting for patient age, severity of presentation, chief complaint, and practice setting, physician handoffs were associated with approximately 33% more time per encounter (2 additional minutes per encounter on a median of 6 minutes). Given the high-risk nature of clinical handoffs, this additional time is likely justified. Prior research has demonstrated the cognitive load costs associated with handoffs, as well as the fact that physicians are more likely to make errors during handoffs in care.8 Accordingly, in the future, technologies that can effectively summarize relevant clinical courses and patient information to reduce the time and cognitive burden of the clinical handoff may be particularly valuable in the ED setting.

Finally, Iscoe et al3 found that an emergency severity index (ESI) of 1, indicating the highest level of illness acuity, was associated with almost 3 times as many minutes spent in the EHR per encounter compared with the lowest acuity ESI of 5. At first glance, this would seem logical from a clinical perspective, with greater medical decision-making, documentation, and EHR review time needed for higher-acuity encounters. However, recent research has suggested that the assignment of ESI is subject to bias, especially racial-, ethnic-, and language-related biases, with patients identifying as Black, Hispanic, or other race or ethnicity having less acute triage scores than White peers.9 Future research should assess the extent to which lesser time spent on lower severity ED cases holds across racial, ethnic, and language groups within ESI groups, and to what extent biased ESI assignment might bias the time physicians devote to individual ED cases with similar clinical presentations.

While the study by Iscoe et al3 makes important contributions to benchmarking physicians’ EHR time, its conclusions should be interpreted in the context of several methodologic points. As previously noted, time captured via the user action log (or audit log) is thought to be an underestimate of true time spent on patient encounters. This point is particularly salient in the ED, where physicians may spend time in acute clinical situations or performing procedures without simultaneously interacting with the EHR. Additionally, ED workflows vary across institutions and practice settings, and findings by Iscoe et al3 should be interpreted in that context. For example, the study by Iscoe et al3 includes encounters in which a resident physician or advanced practice clinician was involved in the encounter, supervised by an attending physician. In these cases, an attending physician may only have to attest a resident or advanced practice clinician’s note, thus reducing the time associated with documentation, and lowering overall study estimates of EHR time. Finally, at present, the EHR use activity log cannot estimate time spent on the ED trackboard, which can be used to track results and active workups across multiple patients, and, according to the prior work by Iscoe et al,10 represents the second greatest source of EHR time expenditure at the shift level.

Despite these limitations, the study by Iscoe et al3 makes important contributions to characterizing the EHR-based work of ED physicians. This preliminary understanding is critical for optimizing ED physicians’ EHR-based workflows and ensuring high quality care delivery, supported, rather than encumbered, by the EHR.

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Article Information

Published: August 13, 2024. doi:10.1001/jamanetworkopen.2024.29749

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

Corresponding Author: Lisa S. Rotenstein, MD, MBA, MSc, University of California, San Francisco, 10 Koret Way, Room 321, San Francisco, CA 94122 (Lisa.Rotenstein@UCSF.edu).

Conflict of Interest Disclosures: Dr Rotenstein reported receiving grants from American Medical Association and FeelBetter and serving on an advisory board for Augmedix outside the submitted work. No other disclosures were reported.

References

1.

Medscape. Physician burnout and depression report 2024: “we have much work to do.” Accessed May 19, 2024. https://www.medscape.com/slideshow/2024-lifestyle-burnout-6016865

2.

Adler-Milstein J, Zhao W, Willard-Grace R, Knox M, Grumbach K. Electronic health records and burnout: time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians. J Am Med Inform Assoc. 2020;27(4):531-538. doi:10.1093/jamia/ocz220 PubMedGoogle ScholarCrossref

3.

Iscoe MS, Venkatesh AK, Holland ML, Krumholz HM, Sheares KD, Melnick ER. Benchmarking emergency physician EHR time per encounter based on patient and clinical factors. JAMA Netw Open. 2024;7(8):e2427389. doi:10.1001/jamanetworkopen.2024.27389Google Scholar

4.

Reznek MA, Mangolds V, Kotkowski KA, Samadian KD, Joseph J, Larkin C. Accuracy of physician self-estimation of time spent during patient care in the emergency department. J Am Coll Emerg Physicians Open. 2023;4(2):e12923. doi:10.1002/emp2.12923 PubMedGoogle ScholarCrossref

5.

Olson E, Rushnell C, Khan A, et al. Emergency medicine residents spend over 7.5 months of their 3-year residency on the electronic health record. AEM Educ Train. 2021;5(4):e10697. doi:10.1002/aet2.10697 PubMedGoogle ScholarCrossref

6.

Overhage JM, McCallie D Jr. Physician time spent using the electronic health record during outpatient encounters: a descriptive study. Ann Intern Med. 2020;172(3):169-174. doi:10.7326/M18-3684 PubMedGoogle ScholarCrossref

7.

Rotenstein LS, Holmgren AJ, Downing NL, Longhurst CA, Bates DW. Differences in clinician electronic health record use across adult and pediatric primary care specialties. JAMA Netw Open. 2021;4(7):e2116375. doi:10.1001/jamanetworkopen.2021.16375 PubMedGoogle ScholarCrossref

8.

Turner JS, Courtney RD, Sarmiento E, Ellender TJ. Frequency of safety net errors in the emergency department: effect of patient handoffs. Am J Emerg Med. 2021;42:188-191. doi:10.1016/j.ajem.2020.02.023 PubMedGoogle ScholarCrossref

9.

Joseph JW, Kennedy M, Landry AM, et al. Race and ethnicity and primary language in emergency department triage. JAMA Netw Open. 2023;6(10):e2337557. doi:10.1001/jamanetworkopen.2023.37557PubMedGoogle ScholarCrossref

10.

Iscoe MS, Holland ML, Paek H, Flood C, Melnick ER. Emergency physicians’ EHR use across hospitals: a cross-sectional analysis. Am J Emerg Med. 2022;61:205-207. doi:10.1016/j.ajem.2022.07.014 PubMedGoogle ScholarCrossref

Exploration of Electronic Health Record Patterns of Emergency Physicians (2024)

References

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