Cited by 223Electronic Health Records SystemsHealthcare professionals’ stress and burnoutTechnostress in Professional Settings

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Burnout Related to Electronic Health Record Use in Primary Care

Open access

Budd, Jeffrey·2023·Journal of Primary Care & Community Health

DOI 10.1177/21501319231166921PMC PMC10134123

Open this paper in CoChat — free account

Abstract

Physician burnout has been increasing in the United States, especially in primary care, and the use of Electronic Health Records (EHRs) is a prominent contributor. This review article summarizes findings from a PubMed literature search that shows the significant contributors to EHR-related burnout may be documentation and clerical burdens, complex usability, electronic messaging and inbox, cognitive load, and time demands. Documentation requirements have escalated and have inherently changed from paper-based records. Many clerical tasks have also shifted to become additional physician responsibilities. When considering factors of efficiency, effectiveness, and user satisfaction, EHRs overall have an inferior usability score when compared to other technologies. The volume and organization of data along with alerts and complex interfaces require a substantial cognitive load and result in cognitive fatigue. Patient interactions and work-life balances are negatively affected by the time requirements of EHR tasks during and after clinic hours. Patient portals and EHR messaging have created a separate source of patient care outside of face-to-face visits that is often unaccounted productivity and not reimbursable.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1177/21501319231166921

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Figure 1. Prevalence of at least one symptom of burnout among U.S. physicians. Source: From Shanafelt et al. 8CC BY-NC · PubMed Central

Figure 2. Physician views on EHR use. (a) Gardner et al. 35 (b) The Harris Poll. 13CC BY-NC · PubMed Central

Figure 3. Summary of literature search.CC BY-NC · PubMed Central

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

1 retracted

RETRACTED: Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction
Panagioti, M., Geraghty, K., Johnson, J., Zhou, A. Y., Panagopoulou, E. P., Chew-Graham, C. A., Peters, D. H., Hodkinson, A., Riley, R. A., & Esmail, A. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3713 · Cited by 1,059
Retracted
Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014
Shanafelt, T. D., Hasan, O., Dyrbye, L. N., Sinsky, C., Satele, D., Sloan, J., & West, C. P. (2015) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2015.08.023 · Cited by 2,885
Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties
Sinsky, C., Colligan, L., Li, L., Prgomet, M., Reynolds, S., Goeders, L., Westbrook, J., Tutty, M., & Blike, G. (2016) · Annals of Internal Medicine · doi:10.7326/m16-0961 · Cited by 1,494
Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations
Arndt, B. G., Beasley, J. W., Watkinson, M. D., Temte, J. L., Tuan, W.-J., Sinsky, C. A., & Gilchrist, V. J. (2017) · The Annals of Family Medicine · doi:10.1370/afm.2121 · Cited by 972
Changes in Burnout and Satisfaction With Work-Life Integration in Physicians and the General US Working Population Between 2011 and 2017
Shanafelt, T. D., West, C. P., Sinsky, C., Trockel, M., Tutty, M., Satele, D. V., Carlasare, L. E., & Dyrbye, L. N. (2019) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2018.10.023 · Cited by 914
Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors
Tawfik, D. S., Profit, J., Morgenthaler, T. I., Satele, D., Sinsky, C. A., Dyrbye, L. N., Tutty, M., West, C. P., & Shanafelt, T. D. (2018) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2018.05.014 · Cited by 756
Physician stress and burnout: the impact of health information technology
Gardner, R. L., Cooper, E., Haskell, J., Harris, D. A., Poplau, S., Kroth, P. J., & Linzer, M. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy145 · Cited by 566
Changes in Burnout and Satisfaction With Work-Life Integration in Physicians and the General US Working Population Between 2011 and 2020
Shanafelt, T. D., West, C. P., Sinsky, C. A., Trockel, M., Tutty, M., Wang, H., Carlasare, L. E., & Dyrbye, L. N. (2022) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2021.11.021 · Cited by 456
Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause?
Downing, N. L., Bates, D. W., & Longhurst, C. A. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0139 · Cited by 418
The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians
Melnick, E. R., Dyrbye, L. N., Sinsky, C. A., Trockel, M., West, C. P., Nedelec, L., Tutty, M. A., & Shanafelt, T. (2020) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2019.09.024 · Cited by 413

Show all 46 references

Research works printed but not linked: 3

Berg S. Simpler logins, voice recognition ease click fatigue at Yale. AMA Digital. 2018. Accessed August 5, 2022. https://www.ama-assn.org/practice-management/digital/simpler-logins-voice-recognition-ease-click-fatigue-yale
Coleman M, 2015, WMJ, 114, 135
Tran B, 2019, AMIA Jt Summits Transl Sci Proc, 2019, 136

Sorted by citations

Items 101–200 of 223

Evaluation of eHealth Interventions to Prevent Pressure Injuries: A Scoping Review
Ahmad, A. A. K., Tehan, P. E., Hopson, A. M., Roberts, E., & Rose, A. J. (2025) · International Wound Journal · doi:10.1111/iwj.70680 · Cited by 4
Evaluating AI-Powered Automation of Therapy Session Notes: A Pilot Randomized Controlled Trial
Batkhina, A. A. (2025) · Psychology · doi:10.4236/psych.2025.166044 · Cited by 2
The Electronic Health Record: Should Small Practices Adopt this Technology?
Salmen, N. L., Brodell, R. T., & Dolohanty, L. B. (2024) · SKIN The Journal of Cutaneous Medicine · doi:10.25251/skin.8.1.8 · Cited by 1
Documenting the patient’s visit in the EHR—searching for the holy grail
Schattner, A. (2024) · QJM · doi:10.1093/qjmed/hcae030 · Cited by 1
Alert design in the real world: a cross-sectional analysis of interruptive alerting at 9 academic pediatric health systems
Kandaswamy, S., Yarahuan, J. K. W., Dobler, E. A., Molloy, M. J., Knake, L. A., Hernandez, S., Fallon, A. A., Hess, L. M., McCoy, A. B., Fortunov, R. M., et al. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf013 · Cited by 1
A Phased Competency Model for Electronic Health Record Usability
Kobeissi, M. M., Ross, A., Ramirez, E. G., Maria, D. S., Rutherford, A., Jacob, A., & McBride, M. (2025) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001260 · Cited by 1
Primary care physicians’ perceptions of Israel’s national program for quality indicators in community healthcare– 2010 and 2020
Gannot, R. N., Burger, A., & Rosen, B. (2025) · Israel Journal of Health Policy Research · doi:10.1186/s13584-025-00685-5 · Cited by 1
Documenting While Doctoring: Attention and Distraction in the Exam Room
Frankel, R. M. (2025) · Springer eBooks · doi:10.1007/978-3-031-85546-7_3 · Cited by 1
The potential utility of CHATGPT4.0 as an AI assistant in the education and management of patients with Barrett’s esophagus
Dang, F., Kwon, J. Y., Lin, A. L., Banerjee, S., McCracken, T., Tavangar, A., Reddy, S. R., Choi, A. Y., Phan, J., Mosko, J. D., et al. (2025) · Diseases of the Esophagus · doi:10.1093/dote/doaf050 · Cited by 1
Advanced Technologies in Medicine: Safeguarding Physician Skill, Knowledge, and Character in the AI-Enhanced Clinic
Palmer, A., & Schwan, D. (2025) · The International Library of Bioethics · doi:10.1007/978-3-031-94690-5_4 · Cited by 1
High Users of Primary Care Secure Messaging in the Veterans Health Administration
Staloff, J. A., Gunnink, E. J., Rojas, J., Wong, E. S., Hagan, S. L., Nelson, K. M., & Reddy, A. (2025) · The Annals of Family Medicine · doi:10.1370/afm.240360 · Cited by 1
Unintended Ramifications of Ai-Assisted Documentation: Navigating Pragmatic & Ethical Clinical Social Work Workload Challenges
VanHara, A., & Hage, D. S. (2025) · Journal of Evidence-Based Social Work · doi:10.1080/26408066.2025.2571439 · Cited by 1
Judicious resource managers or administrative intermediaries: A systematic review of family physician perspectives on the administrative process of referring patients to other clinicians in high income countries
Elma, A., Scholes, A. K., Singer, A., Shuldiner, J., Shen, K., Scott, I. M., O’Toole, D., Hamza, D. M., Grierson, L., Dawe, R. E., et al. (2025) · Health Policy · doi:10.1016/j.healthpol.2025.105527 · Cited by 3
Implementación de un sistema de historia clínica electrónica en un amplio hospital de salud en América Latina desde una perspectiva médica
Salas-Lumbreras, P. L., Valle, N. C. A.-D., Lozano-Ulloa, A. G., Serna-Trevio, F., Flores-Osorio, X., Gonzalez-Camid, E., Marentes-Martnez, J. F., Snchez-Rodrguez, G., Reyes-Hernndez, K. L., Reyes-Gmez, U., et al. (2025) · Salud Jalisco · doi:10.35366/121797 · Cited by 1
Portal message utilization in orthopedic spine surgery: patterns, predictors, and financial implications
Rucker, S., Williams, M., Ferdon, R. J., Silvestre, J., Reitman, C. A., & Ravinsky, R. A. (2025) · North American Spine Society Journal (NASSJ) · doi:10.1016/j.xnsj.2025.100845 · Cited by 1
Healthcare Professionals' Perceptions of Artificial Intelligence in Healthcare—A Systematic Review of Qualitative Studies
Sini, H., Mikkonen, K., Jarva, E., Suonnansalo, P., Assi, K., Lee, J. J., & Anne, O. (2026) · Journal of Advanced Nursing · doi:10.1111/jan.70500 · Cited by 5
High Utilizers of MyChart Electronic Patient Portal Messaging in A Head and Neck Surgery Clinic
Ahmad, S. A., Kim, J. S., Gao, S., Lazieh, S. M., Koch, W., Mady, L. J., Fakhry, C., Eisele, D. W., London, N. R., & Gourin, C. G. (2026) · The Laryngoscope · doi:10.1002/lary.70465 · Cited by 1
Opportunities and challenges for addressing financial hardship as an integrated part of cancer care delivery
de Moor, J. S., Liang, M. I., Beauchemin, M., Glaser, K. M., Badr, H., Yabroff, K. R., Doran, J. F., Majid, A., Bell, R. A., Obeng‐Gyasi, S., et al. (2026) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djag077 · Cited by 1
Artificial intelligence in modern healthcare: Applications, innovations, and ethical dimensions in personalized, predictive, and inclusive care
Ahmed, M. M., Okesanya, O. J., Othman, Z. K., Adebayo, U. O., Oso, T. A., & Lucero‐Prisno, D. E. (2026) · Informatics and Health · doi:10.1016/j.infoh.2026.03.002 · Cited by 1
Artificial intelligence and the problem of physician burnout: a double‐edged scalpel
Bouguettaya, A., & Aboujaoude, E. N. (2026) · World Psychiatry · doi:10.1002/wps.70075 · Cited by 1
Person-centered hospital care in Indonesia: the role of digital health competency, user interface quality, and user experience in a multi-hospital study
Rachmani, E., Widiawati, E., Dewi, D. A., Shabbir, S. A. S. S. A., Chen, F.-Y., Kurniadi, A., Anjani, S., Rimawati, E., Yuantari, M. G. C., & Fahmi, A. (2026) · Frontiers in Health Services · doi:10.3389/frhs.2026.1827781 · Cited by 1
Using an Ambient Artificial Intelligence Tool to Document Clinical Pharmacist Patient Encounters: Real‐World Evidence From a Federally Qualified Health Center
Stewart, M. P., Litten, K. P., Hinds, A., Linedecker-Smith, S., Welch, K., & Garza, A. (2026) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.70242 · Cited by 1
Evaluating the impact of artificial intelligence scribes on clinical documentation in primary care: a simulation study
Murray, L., Ha, E., Wang, Q., Choon-Kon-Yune, I., Luan, S., Kishimoto, V., Bhattacharyya, O. K., Agarwal, P., & Montague, E. N. H. (2026) · JAMIA Open · doi:10.1093/jamiaopen/ooag101 · Cited by 1
Exploring the Potential of Ambient AI for Inpatient Documentation: A Qualitative Study with Junior Doctors
Bracken, A., Whelehan, S. P., Babu, A. R., Merghani, K., Sheehan, E. C., & Feeley, I. H. (2026) · Journal of Medical Systems · doi:10.1007/s10916-026-02437-7 · Cited by 1
Understanding and Addressing Delays in Endocrine Surgery: Insights From a Mixed‐Methods Study and a Pilot Educational Intervention
Kim, S., Foote, M., Zhang, S., Twyford, A., Fox, A., & Rosen, J. E. (2026) · Journal of Surgical Oncology · doi:10.1002/jso.70341 · Cited by 1
Postphenomenological Insights from an In-the-Wild Collective Sensing System Deployment for PTSD Therapy
Swinger, N., Ryu, M., Baseman, C. M., Xu, K., Sherrill, A. M., & Arriaga, R. I. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816986 · Cited by 1
Costs and Productivity Benefits of the Department of Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks Act Scribes Trial
Shafer, P. R., Palani, S., Saeed, I., Legler, A., Barr, K. D., Carvalho, K. M., & Pizer, S. D. (2024) · Value in Health · doi:10.1016/j.jval.2024.02.017 · Cited by 1
Ethics of Patient-Clinician Boundaries in Oncology: Communication Strategies for Promoting Clinician Well-Being and Quality Patient Care
Chatwal, M. S., Camacho, P., Symington, B. E., Rosenberg, A. R., Hinyard, L., Chávez‐MacGregor, M., Gallagher, C. M., El-Jawahri, A. R., McGinnis, M. M., & Lee, R. T. (2024) · JCO Oncology Practice · doi:10.1200/op.23.00650 · Cited by 1
Quality of Care and Quality of Life
MINKOFF, H. L., O'Brien, J., & Berkowitz, R. L. (2024) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000005681 · Cited by 1
Integration of novel artificial intelligence tools in pediatric urologic practice
McGee, L. M., Soo, E., & Seideman, C. A. (2025) · Current Opinion in Urology · doi:10.1097/mou.0000000000001275 · Cited by 1
Changes in provider responsibilities and associated outcomes for cirrhotic patients with telehealth: A single-center, retrospective study
Bloomberg, L. I., Hong, P., Hepburn, C., Kaboff, A., Fayad, M., Varda, B., Joyce, C., Cotler, S. J., & Rubin, J. N. (2025) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x251323185 · Cited by 1
From theory to practice: Integrating AI dictation
Cooperman, S. R. (2025) · Foot & Ankle Surgery Techniques Reports & Cases · doi:10.1016/j.fastrc.2025.100497 · Cited by 1
Freeing Time and Reducing Costs: The Value of a Specialized Nursing Service in IBD
Aboubakr, A., & Lukin, D. J. (2023) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izad201 · Cited by 1
Digital morphine: why AI scribes are symptomatic relief for a broken system
Segal, B., Allen, L. N., Fieggen, J., Clifton, D., & Clifton, L. (2026) · BMJ Digital Health & AI · doi:10.1136/bmjdh-2026-000030 · Cited by 1
The Impact of Ambient Voice Technology in NHS Outpatient Care: A Replicable Protocol for a Mixed-Methods Service Evaluation (Preprint)
Aveyard, N., Kennedy, N., Kerans, A., Delbridge, S., Bearder, A., Ede, J., Meertens, R. M., Shields, B. M., Spiro, M. D., & Kyle, S. (2026) · JMIR Research Protocols · doi:10.2196/preprints.101273 · Cited by 1
The pharmacological deprescription in elderly patients
Ali, C. R., Huang, D. Q., Tugwete, C., Canale, S. D., & Maio, V. (2023) · Italian Journal of Medicine · doi:10.4081/itjm.2023.1676
Enhanced Patient Portal Engagement Associated with Improved Weight Loss Outcomes in Post-Bariatric Surgery PatientsPreprint
Zhang, X., Kang, K., Yan, C., Feng, Y., Vandekar, S., Yu, D., Rosenbloom, S. T., Samuels, J. M., Srivastava, G., Williams, B., et al. (2024) · medRxiv · doi:10.1101/2024.01.20.24301550
Scoping review of dashboards in health care: why, how, and for whom they have been developed, implemented, and evaluated (Preprint)Preprint
Helminski, D., Sussman, J. B., Pfeiffer, P. N., Kokaly, A. N., Ranusch, A., Renji, A. D., Damschroder, L. J., Landis‐Lewis, Z., & Kurlander, J. E. (2024) · doi:10.2196/preprints.59828
Physician Burnout: Designing Strategies Based on Agency and Subgroup Needs [Letter]
Njoku, I. O., Chin, E. L., & Adams, M. C. B. (2024) · Journal of Healthcare Leadership · doi:10.2147/jhl.s464957
Will Ambulatory Safety Nets Go Viral?
Lurvey, L. D., Yasumura, L., & Martinez, E. (2024) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/j.jcjq.2024.06.004
Standardized Note Template Expedites Completion of Consults for Surgical Fetal Anomalies
Gyimah, M. B., Peiffer, S., Larabee, S. M., Lee, T. C., Keswani, S. G., & King, A. (2025) · Journal of Surgical Research · doi:10.1016/j.jss.2024.11.048
Using routinely available electronic health record data elements to develop and validate a digital divide risk score
Faro, J. M., Obermiller, E., Obermiller, C. S., Trinkley, K. E., Wright, G. C., Sadasivam, R. S., Foley, K. L., Cutrona, S. L., & Houston, T. K. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooaf004
A Cross-Sectional Study Exploring Nurse Burnout and Satisfaction With the Electronic Health Record
Campbell, C. M., Montgomery, A. P., Ruffin, A., Baernholdt, M., & Patrician, P. A. (2025) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001270
Preoperative Evaluation and Discussion: Trust as the Foundation
Neevel, A. J., & Hogikyan, N. D. (2025) · New paradigms in healthcare · doi:10.1007/978-3-031-82771-6_8
Technoskepticism or Justified Caution? The Future of Human-Centered AI in Mental Health Care
Swinger, N., Moran, L. H., Abdullah, S., Wiese, C. W., Lee, U., Tseng, Y., Sherrill, A. M., & Arriaga, R. I. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3716286
A primer on creating a rank order list for medical students applying to residency
Landry, A. I., Coates, W. C., & Gottlieb, M. A. (2025) · AEM Education and Training · doi:10.1002/aet2.70052
Physician Burnout: Historical Context, Psychosomatic Division, Evolution, Results, Solutions, and Recommendations
Nash, C. (2025) · Encyclopedia · doi:10.3390/encyclopedia5020074 · Cited by 1
Electronic Challenges to Patient Safety and Care
Bertman, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-85546-7_19
Can vaccination data in electronic systems be trusted? A comparative analysis of the aggregated immunization coverage database and records from electronic health system with consideration of settlement type
Grechukha, Y., Deineha, D., Chaikivska, Y., & Volokha, A. P. (2025) · Ukrainian Scientific Medical Youth Journal · doi:10.32345/usmyj.2(154).2025.198-208
Introduction: Technological Innovation and Moral Evolution
Schwan, D., & Altman, M. C. (2025) · The International Library of Bioethics · doi:10.1007/978-3-031-94690-5_1
Impact of clinical documentation integrity query software into hospital medicine workflow: a comparison of resident and non-resident teams
Rouse, M., Jones, M., Pareek, A., Gibson, C., May, R., Ekilah, T., Struempler, M., Chambers, B., Soni, D., & Zogleman, B. (2025) · Discover Health Systems · doi:10.1007/s44250-025-00226-6
Integrating Large Language Models (LLMs) and Vector Databases into Healthcare Operations
Patil, R., Abbidi, M., Boit, S., Sutrave, K., & Du, J. (2025) · IEEE World AI IoT Congress (AIIoT) · doi:10.1109/aiiot65859.2025.11105274
Implementation of Artificial Intelligence for Scribing in an Outpatient Mental Health Clinic
Moore, E. N. (2025) · doi:10.46409/sr.ylxr8882
The digital shift in oncology EMRs in LMICs
Rajput, N. H. (2025) · ESMO Real World Data and Digital Oncology · doi:10.1016/j.esmorw.2025.100183
Characterization of medication refill models in U.S. ambulatory care: A scoping review of program types, barriers, and facilitators
Hincapie, A. L., Schlosser, E. G., Auteri, L., & Llambi, L. (2025) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2025.102942
Variance in Clinical Reminder volume across Veteran Health Administration facilities and association with primary care burnout: a cross-sectional study (Preprint)Preprint
Shah, K. P., Reddy, A., Gunnink, E. J., Theis, M., Chang, E. T., Rosland, A.-M. M., Nelson, K. N., Strandberg, G., Ayers, M. L., Pawlikowski, S., et al. (2025) · doi:10.2196/preprints.85147
Automating the Management of Extraspinal Findings in Magnetic Resonance Imaging Spine Studies Using a Privacy-Preserving Large Language Model: Retrospective Validation Study
Ong, W., Tan, G., Ting, Y. H., Ge, S., Tan, Y. L., Low, X. Z., Tan, W. C., Makmur, A., Leow, N. W., Jabbar, M. A. D. A., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/86251
Digital healthcare nella AOU di Alessandria: il potenziamento dell'adoption della Cartella Clinica Elettronica e gli impatti positivi sui percorsi di diagnosi e cura
Trentin, L., Ricci, D., & Cunietti, G. (2025) · MECOSAN · doi:10.3280/mesa2024-132oa20246
Cloud vs. On-Premise Large Language Models for Urgent Patient- Portal Message Screening: A Comparative EvaluationPreprint
Junior, V. F. M., Gallani, S., Basovic, L., Alomar, M., You, J. C., Samal, L., Park, E. R., Sylvia, L. G., Banister, G. E., Hadar, P., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7830207/v1
Health Information Systems and Electronic Health Record Optimization
Zubkov, M. R., Lin, C., & Yi, J. A. (2025) · Medical Clinics of North America · doi:10.1016/j.mcna.2025.07.003
Rewriting the Note with Technology
Chadha, R., Salmon, T. R., Goodman, L. A., & Srour, H. (2025) · Medical Clinics of North America · doi:10.1016/j.mcna.2025.07.002 · Cited by 1
Regional implementation of an electronic health record integrated ambient scribe in primary and secondary care in England: real-time qualitative evaluation (Preprint)Preprint
Cresswell, K., Rose, C., Howdle, J., Seuren, L. M., & Williams, R. (2025) · doi:10.2196/preprints.88472
Artificial intelligence scribing in dermatology
Wang, V., Aabedi, A., Danial, L., Harper, H., & Blan, B. (2025) · International Journal of Research in Dermatology · doi:10.18203/issn.2455-4529.intjresdermatol20254131
Qualitative exploration of manual dental records in the digital era using sociotechnical systems theory: insights from a teaching dental institution
Azman, S. A., Abidin, S., Lin, G. S. S., & Halil, M. H. M. (2026) · Journal of Yeungnam Medical Science · doi:10.12701/jyms.2026.43.9
Automatic Speech Recognition for Doctor-Patient Conversation in Polish
Pondel-Sycz, K., Bilski, P., Bobiński, P., Morzyński, L., Lewandowski, M., Kozłwski, E., Szczepałski, G., Jasiłski, M., Makarewicz, G., Pietrzak, A. P., et al. (2025) · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) · doi:10.1109/idaacs68557.2025.11322211
AI-Scribe in Specialized Rehabilitation: An Explorative Cohort Study of Perceived Usability and Usefulness Among Physicians and Psychologists (Preprint)Preprint
Engan, H. K., Landstad, I., Sand, K., Evenshaug, S., & Halsnes, E. H. (2025) · doi:10.2196/preprints.90442
ChatGPT in liver transplantation: Current applications, limitations, and future directions
Avramidou, E., Kougianos, N., Chiotis-Miehe, G., Vasileiadou, S., Katsanos, G., & Tsoulfas, G. (2026) · World Journal of Transplantation · doi:10.5500/wjt.v16.i1.110485 · Cited by 1
A first look at burnout among clinicians in worksite health centers in the United States: A preliminary mixed methods study
Jiang, H., Bannon, J. E., Maechling, C. R., Musci, A., An, L. C., & McHugh, M. (2026) · Journal of Workplace Behavioral Health · doi:10.1080/15555240.2025.2609827
Designing for Complex Information Needs: A Case Study in Special Education Health Services and Future Information Retrieval Systems
Asadi, A. R., Kropczynski, J., Johnson, J., O'Connor, C., Reed, W. C., & Said, H. (2026) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3786304.3788840
Evaluation of Otolaryngology Provider Bias in Portal Messaging
Aladetan, A. A., Merlino, D. J., Vallecillo, T., Gu, B., Carducci, V., & Brufau, S. R. (2026) · Oral Oncology · doi:10.1016/j.oraloncology.2026.107921
How to bring nurse-led eHealth symptom monitoring in daily care: the Belgian SMILe integrated care model for allogeneic stem cell transplantation adaptation project
Arnahoutova, K., Goris, K., Geest, S. D., Leppla, L., Mielke, J., Croes, F., Zink, L., Houbracken, L., Bosmans, V., Maertens, J. A., et al. (2026) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2026.103167
Equipos de atención primaria efectivos: un análisis normativo, más allá de los equipos básicos de salud en Colombia
Montaño-Caicedo, J. I., Vélez-Mosquera, C. T., & Silva-Amado, A. G. (2025) · Avances en Enfermería · doi:10.15446/av.enferm.v43n3.120393
Electronic health record usability for management of actionable incidental imaging findings: A survey of primary care providers
Bechel, M. A., Kelly, A., Krupinski, E. A., Masi, C. M., Safdar, N. M., & Balthazar, P. (2026) · Current Problems in Diagnostic Radiology · doi:10.1067/j.cpradiol.2026.03.008
Clinical Informatics and Artificial Intelligence in Healthcare
Greenwood, J. D., & Qian, R. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-2577-4.ch004
Interventions to reduce occupational burnout in general practitioners: a systematic review and meta-analysis protocol
Xi, W., Li, Z., Chen, S., Xia, P., Zhang, Z., Chen, Y., Li, J., Shuai, X., & Zou, C. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1748369
Automated identification of radiotherapy treatment sites from unstructured physician notes
Hoxha, K., Savjani, R. R., Neylon, J., Pham, J. M., Ariani, R. T., & O’Connell, D. P. (2026) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70558
Au-delà de la pénurie médicale : vers un nouveau paradigme pluridisciplinaire en santé au travail
Hermel, G. (2026) · Archives des maladies professionnelles et de médecine du travail/Archives des maladies professionnelles et de l'environnement · doi:10.1016/j.admp.2025.103011
DIGITAL ADMINISTRATIVE BURDEN AS A STRUCTURAL CONTRIBUTOR TO PHYSICIAN BURNOUT: A NARRATIVE LITERATURE REVIEW
Halat, K., Hajdas, A., Daniel, G., Kaczmarczyk, N., Chudy, J., Ćmok, Ł., Dobrowolska, J., Skalski, J. R., Kałka, I., & Szmuc, J. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.1(49).2026.5340
Does a paper-based information system based on a human-centred design (PHISICC) reduce the time needed for reporting health data in Nigeria?
Nwankwo, O., Oyo-Ita, A. E., Ekpenyong, N., Iwasam, A., Auer, C., Ross, A. J., Wyss, K., & Bosch‐Capblanch, X. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14567-2
Economic and Organizational Drivers of Physician Burnout: Implications for Healthcare System Efficiency
Jani, Y., Ali, A., Koutsos, C., Poron, A., Salathe, V., Ou, S., Shah, A., & Frasier, K. (2026) · Journal of Service Science and Management · doi:10.4236/jssm.2026.192008
Using Natural Language and Health Ontologies in Hope Recommender System: Evaluation of Use in Medicine
Eguia, H. A., Sánchez-Bocanegra, C. L., Fernández-Llatas, C., Alvarez-López, F., & Saigí-Rubió, F. (2026) · Applied System Innovation · doi:10.3390/asi9050086
EHRs, PHRs, and Patient Portals
Boren, S. (2026) · Health informatics · doi:10.1007/978-3-032-16657-9_9
From burden to benefit: strategies to overcome barriers in electronic health record optimization
Khalil, V. (2026) · Current Opinion in Epidemiology and Public Health · doi:10.1097/pxh.0000000000000075
Quantized LLMs for Clinical Report and Question Answering in Retinal Disease Assessment
Herrera-Chavez, A. I., Flores‐Fuentes, W., Rodríguez-Martínez, E. A., Mercorelli, P., Rodriguez-Quinonez, J. C., & Sergiyenko, O. (2026) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit64854.2026.11491057
Bridging the Digital Gap: A Thematic Qualitative Analysis of the Readiness of Intensive Care Unit (ICU) Nurses From an ICU in Indonesia to Adopt Electronic Nursing Records
Wahyuni, E. D., Kurniawati, N. D., Dewi, Y. S., Ramoo, V., & Alfaruq, M. F. (2026) · Nursing Forum · doi:10.1155/nuf/2239889
Implementation of an e-Tool (the Provider Asthma Assessment Form) Integrated Into the Electronic Medical Record in Primary Care: Mixed Methods Survey of Perceived Utility, Practitioner Satisfaction, Barriers and Enablers
McFarlane, M., Morra, A., Podgers, D., Barber, D., Ruetz, K., & Lougheed, M. D. (2026) · JMIR Formative Research · doi:10.2196/80399
The impact of an ambient documentation tool on the care experience of clinical pharmacists embedded in ambulatory clinics: A mixed-methods evaluation
Olson, A. W., Pradhan, A., Whary, P., Dombrowski, S. K., Dobbins, D. X., Ward, T., Obert, K., Siegrist, C., & Wright, E. A. (2026) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxag176
Evaluating the completeness of perioperative outcome metrics in electronic medical records: Insights based on the proposed Perioperative Clinical Outcomes Registry framework
Inglis, A. J., & Dieleman, J. (2026) · Anaesthesia and Intensive Care · doi:10.1177/0310057x261454389
Describing digital nursing work in a remote patient monitoring application: Novel convergent mixed methods secondary analysis of feasibility trial data
Austin, R. C., Karlsen, B., Morken, I. M., Sudqvist, S., Selvik, A., Husebø, A. M. L., & Wathne, H. B. (2026) · Digital Health · doi:10.1177/20552076261462734
The Impact of AI Scribes on Patient and Clinician Satisfaction and CommunicationPreprint
Pollak, K. I., Coffman, C. J., Casey, M., Patel, M. I. A. A., Shah, K., Dolor, R. J., Hantzmon, S. V., Richardson, B., Pearce, N., Lo, A., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9929134/v1
Multimodal AI for automated procedural documentation in interventional cardiology: an early-stage innovation report
Parmar, R. B., Sharma, N., Eldawud, D., Unal, S., Hamza, H., & Budzikowski, A. (2026) · BMJ Innovations · doi:10.1136/bmjinnov-2026-001586
Preoperative patient education on constipation management reduces healthcare utilization following bariatric surgery
Cross-Najafi, A. A., Kuhn, R., Alexieva, J. B., Manivannan, A., Wen, A., Diep, Q. M., Myers, J. A., Omotosho, P. A., Torquati, A., Skertich, N. J., et al. (2026) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2026.117121
Enhancing Research Resilience in Team Members of Emergency Medicine Departments Investigating Traumatic Brain Injury by Addressing Burnout-Related Confusion
Nash, C. (2026) · Crisis and Resilience · doi:10.65773/cr.2.2.144
Using Clinical Simulations to Assess the Impact of Health Information Technology Contributions on Physician Administrative Burden
Murray, L., Ha, E., Hu, K., Bhattacharyya, O. K., & Montague, E. N. H. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29596-5_21
Burnout in interventional physiatry: A narrative review
Abdulsalam, A. J., Aldhafiri, A., & Reebye, R. N. (2026) · PM&R · doi:10.1002/pmrj.70177
Artificial Intelligence-Based Interventions for Physician Burnout and Stress: A Systematized Review of the Emerging Evidence of Effectiveness and Implementation (Preprint)Preprint
Manjanatha, D. (2026) · doi:10.2196/preprints.105812
Dictionary-Augmented Large Language Model Postprocessing for Bilingual Code-Switched Medical Speech Recognition: Development and Evaluation Study
Oh, C., Hwangbo, Y., Cheon, W., & Lee, J. (2026) · Journal of Medical Internet Research · doi:10.2196/91696
Telehealth’s Double-Edged Sword: Hidden Costs of Expanding Access to Virtual Care
Kamalahmadi, M., Lim, J. M., Rubio-Delgado, C., & Walker, K. (2026) · Manufacturing & Service Operations Management · doi:10.1287/msom.2024.1543
A Patient Panel Assignment Strategy to Balance Provider Workload in Family Medicine
Huang, Y.-L., & Rushlow, D. R. (2026) · Healthcare · doi:10.3390/healthcare14142178
BURNOUT SYNDROME AMONG HEALTHCARE PROFESSIONALS: A NARRATIVE REVIEW OF EPIDEMIOLOGY, CLINICAL CONSEQUENCES, AND INTERVENTIONS
Mazur, J., Kosowski, M., Marciniak, J., Chołuj, D., Zarówna, K., Pura, W., Matecka, D., & Śliwiński, W. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6238

Authors: Budd, J.
Affiliations: University of Florida Health (US)
Corresponding author: Budd, Jeffrey
ORCID: Budd, Jeffrey
Venue: Journal of Primary Care & Community Health
Publisher: SAGE Publications
Published: 2023-01
Volume: 14
Pages: 21501319231166921-21501319231166921
ISSN: 2150-1319 (ISSN-L)
2150-1327
DOI: 10.1177/21501319231166921
PMC: PMC10134123
OpenAlex: W4366350958
Cited by: 223
References: 46
Citations by year: 2026: 80 · 2025: 85 · 2024: 51 · 2023: 7
FWCI: 8.74
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by-nc
creativecommons.org/licenses/by-nc/4.0/ (unspecified)
Locations: Journal of Primary Care & Community Health (publishedVersion, cc-by-nc)
PubMed Central (publishedVersion, cc-by-nc)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
Keywords: physician burnout, electronic health records, primary care, clinical documentation burden, clerical work, EHR usability, cognitive load, mental fatigue, patient portals, work-life balance, productivity, reimbursement
MeSH terms: Burnout, Professional, Documentation, Humans, Physicians, Primary Health Care, United States, Electronic Health Records

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Burnout Related to Electronic Health Record Use in Primary Care

Abstract

Overview

Integrity signals

Figures

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks