DIGITAL ADMINISTRATIVE BURDEN AS A STRUCTURAL CONTRIBUTOR TO PHYSICIAN BURNOUT: A NARRATIVE LITERATURE REVIEW

Authors

DOI:

https://doi.org/10.31435/ijitss.1(49).2026.5340

Keywords:

Physician Burnout, Electronic Health Records, Digital Workload, Administrative Burden, Clinical Workflow, Healthcare Systems

Abstract

Objective: Physician burnout has emerged as a critical global challenge with far-reaching consequences for healthcare systems, including reduced quality of care, increased medical errors, and workforce attrition. Traditionally conceptualized as a consequence of individual vulnerability and workload intensity, burnout is increasingly recognized as a structurally embedded phenomenon shaped by organizational and technological factors. This study examines digital administrative burden as an underrecognized system-level contributor to physician burnout.

Methods: A narrative literature review was conducted using PubMed, Scopus, and Google Scholar, focusing on peer-reviewed publications from 2016 to 2025. The review synthesizes empirical and conceptual research examining the relationship between digital health technologies and physician burnout.

Results: The findings indicate that electronic health records (EHRs), digital communication platforms, and telemedicine systems significantly increase administrative workload and cognitive demands. Digital administrative burden—defined as workload generated through interaction with digital systems, including documentation, inbox management, alert processing, and system navigation—was consistently associated with emotional exhaustion, depersonalization, and reduced professional fulfillment. These effects are mediated by cognitive overload, workflow fragmentation, and role transformation.

Conclusions: The study concludes that physician burnout should be understood as a structural consequence of healthcare system design. Addressing digital administrative burden requires systemic interventions, including human-centered technology design, workflow optimization, and policy reforms aimed at reducing unnecessary administrative demands.

References

Adler-Milstein, J., & Holmgren, A. J. (2017). Health IT and physician work. Health Affairs, 36(9), 1653–1660. https://doi.org/10.1377/hlthaff.2017.0251

Ancker, J. S., Edwards, A., Nosal, S., Hauser, D., Mauer, E., & Kaushal, R. (2017). Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system. BMC Medical Informatics and Decision Making, 17, 36. https://doi.org/10.1186/s12911-017-0430-8

Arndt, B. G., Beasley, J. W., Watkinson, M. D., Temte, J. L., Talan, A., & Sinsky, T. A. (2017). Tethered to the EHR: Primary care physician workload assessment using EHR logs. Annals of Family Medicine, 15(5), 419–426. https://doi.org/10.1370/afm.2127

Barbieri, N., & Bianchi, R. (2021). Automation, AI tools, and burnout mitigation in healthcare: A scoping review. International Journal of Medical Informatics, 153, 104504. https://doi.org/10.1016/j.ijmedinf.2021.104504

Budd, J. (2023). Burnout related to electronic health record use in primary care. Journal of Primary Care & Community Health, 14, 21501319231110890. https://doi.org/10.1177/21501319231110890

Coulombe, C. T., & De Groote, S. L. (2020). EHR usability and physician burnout: A scoping review. Journal of Healthcare Informatics Research, 4(4), 407–430. https://doi.org/10.1007/s41666-020-00079-1

Dall’Ora, C., Griffiths, P., Ball, J., Simon, M., & Aiken, L. H. (2016). Association of 12-h shifts and nurses’ job satisfaction, burnout and intention to leave: Findings from a cross-sectional study of 12 European countries. BMJ Open, 6(11), e012006. https://doi.org/10.1136/bmjopen-2016-012006

Dewa, C. S., Loong, D., Bonato, S., & Trojanowski, L. (2017). How does burnout affect physician productivity and quality of care? BMC Health Services Research, 17, 341. https://doi.org/10.1186/s12913-017-2236-7

Downing, N. L., Bates, D. W., & Longhurst, C. A. (2018). Physician burnout in the electronic health record era. Annals of Internal Medicine, 169(1), 50–52. https://doi.org/10.7326/M18-0139

Dyrbye, L. N., Shanafelt, T. D., Sinsky, C. A., Cipriano, P. F., Bhatt, J., & Ommaya, A. (2020). Burnout among healthcare professionals: A call to explore and address this underrecognized threat to safe, high-quality care. National Academy of Medicine.

Ellis, L. A., Hasson, H., Corter, A., & Gibb, C. (2021). Reducing administrative burden in primary care: Lessons from international comparisons. International Journal for Quality in Health Care, 33(2), mzab015. https://doi.org/10.1093/intqhc/mzab015

Escribà-Agüir, V., & Pérez-Hoyos, S. (2017). Burnout and health among Spanish healthcare workers: The role of psychosocial work factors. International Journal of Environmental Research and Public Health, 14(7), 712. https://doi.org/10.3390/ijerph14070712

García, H. R., & Calvo, R. (2021). Digital innovation and physician workload: Challenges and opportunities. Health Informatics Journal, 27(1), 146045822110011. https://doi.org/10.1177/146045822110011

Gardner, R. L., Cooper, E., Haskell, J., Harris, D. A., Poplau, S., & Landrigan, C. P. (2019). Physician stress and burnout: The impact of EHR workflow. Journal of General Internal Medicine, 34(8), 1502–1509. https://doi.org/10.1007/s11606-019-04930-1

Harry, E., Sinsky, C., Dyrbye, L. N., West, C. P., & Shanafelt, T. D. (2021). Physician task load and burnout: Results from a national survey. Mayo Clinic Proceedings, 96(4), 1012–1023. https://doi.org/10.1016/j.mayocp.2020.10.035

Holmgren, A. J., Downing, N. L., & Bates, D. W. (2021). Assessment of EHR use patterns. JAMA Internal Medicine, 181(7), 979–982. https://doi.org/10.1001/jamainternmed.2021.1385

Holmgren, A. J., Thombley, R., Sinsky, C. A., & Adler-Milstein, J. (2023). Physician EHR use and telemedicine expansion. JAMA Internal Medicine, 183(5), 450–460. https://doi.org/10.1001/jamainternmed.2023.0012

Kersting, X., Lochner, C., & Diehl, K. (2023). EHR alert fatigue and clinician burnout: A systematic review. Journal of Clinical Medicine, 12(9), 3087. https://doi.org/10.3390/jcm12093087

Kroth, P. J., Morioka-Douglas, N., Veres, S., Babbott, S., Poplau, S., Corrao, J., & Linzer, M. (2019). Association of electronic health record design and use factors with clinician stress and burnout. JAMA Network Open, 2(8), e199609. https://doi.org/10.1001/jamanetworkopen.2019.9609

Leiter, M. P., & Maslach, C. (2016). Latent burnout profiles: A new approach to understanding the burnout experience. Burnout Research, 3(4), 89–100. https://doi.org/10.1016/j.burn.2016.09.001

Linzer, M., Poplau, S., Brown, R., Hoffman, L., Gao, S., & Birnbaum, A. (2022). Physician burnout and system factors: Findings from the Healthy Workplace Study. Journal of General Internal Medicine, 37(4), 837–845. https://doi.org/10.1007/s11606-021-07018-6

Makary, M. A., & Daniel, M. (2016). Medical error—the third leading cause of death in the US. BMJ, 353, i2139. https://doi.org/10.1136/bmj.i2139

Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry, 15(2), 103–111. https://doi.org/10.1002/wps.20311

McCullough, J. M., Zimmerman, F. J., & Gruber-Baldini, A. L. (2018). EHR usability and time efficiency among physicians. Journal of the American Medical Informatics Association, 25(9), 1212–1218. https://doi.org/10.1093/jamia/ocy089

Melnick, E. R., Dyrbye, L. N., Sinsky, C. A., Trockel, M., West, C. P., Nedelec, L., Tutty, M., & Shanafelt, T. D. (2020). EHR usability and professional burnout among physicians. Mayo Clinic Proceedings, 95(3), 476–490. https://doi.org/10.1016/j.mayocp.2019.09.024

Melnick, E. R., & Sinsky, C. A. (2019). Physician documentation burden and its impact on burnout. Journal of Healthcare Management, 64(3), 181–184. https://doi.org/10.1097/JHM-D-18-00097

Miles, P., Sander, L., & Miles, S. (2021). Cognitive workload and digital technology use in primary care. Healthcare Informatics Research, 27(2), 99–107. https://doi.org/10.4258/hir.2021.27.2.99

Moy, A. J., Schwartz, J. M., Chen, R., Sadri, S., Lucas, E., Cato, K. D., & Rossetti, S. C. (2021). Physician cognitive workload and EHR use: The role of interface complexity. JAMA Network Open, 4(9), e2125670. https://doi.org/10.1001/jamanetworkopen.2021.25670

Murphy, D. R., Meyer, A. N. D., Russo, E., Sittig, D. F., & Singh, H. (2021). The burden of inbox notifications in electronic health records. Journal of the American Medical Informatics Association, 28(1), 144–148. https://doi.org/10.1093/jamia/ocaa211

Panagioti, M., Geraghty, K., Johnson, J., Zhou, A., Panagopoulou, E., Chew-Graham, C., Peters, D., Hodkinson, A., Riley, R., & Esmail, A. (2018). Association between physician burnout and patient safety, professionalism, and patient satisfaction: A systematic review and meta-analysis. JAMA Internal Medicine, 178(10), 1317–1330. https://doi.org/10.1001/jamainternmed.2018.3713

Tai-Seale, M., Olson, C. W., Li, J., Chan, A. S., Morikawa, C., Durbin, M., Wang, W., & Luft, H. S. (2017). Electronic health record logs indicate that physicians split time evenly between seeing patients and desktop medicine. Health Affairs, 36(4), 655–662. https://doi.org/10.1377/hlthaff.2016.0811

West, C. P., Dyrbye, L. N., & Shanafelt, T. D. (2018). Physician burnout: Contributors, consequences, and solutions. The Lancet, 388(10057), 2272–2281. https://doi.org/10.1016/S0140-6736(16)31279-X

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Published

2026-03-30

How to Cite

Karolina Halat, Antoni Hajdas, Gabriela Daniel, Natalia Kaczmarczyk, Justyna Chudy, Łukasz Ćmok, Julia Dobrowolska, Jakub Robert Skalski, Iga Kałka, & Julia Szmuc. (2026). DIGITAL ADMINISTRATIVE BURDEN AS A STRUCTURAL CONTRIBUTOR TO PHYSICIAN BURNOUT: A NARRATIVE LITERATURE REVIEW. International Journal of Innovative Technologies in Social Science, 3(1(49). https://doi.org/10.31435/ijitss.1(49).2026.5340

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