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DOI: 10.1055/a-2701-4543
Evaluating Clinical Staff Perceptions of EHR Usability, Satisfaction, and Adaptation to a New EHR: A Multisite, Pre–Post Implementation Study
Authors
Funding This work was funded by the U.S. National Library of Medicine T15 Training Grant (5T15LM007079).

Abstract
Background
The adoption of electronic health records (EHRs) into clinical practice has changed clinical workflows and, in some cases, increased documentation burden and clinician burnout. Identifying factors associated with perceived EHR usability after the implementation of a new EHR may guide efforts to reduce burden and burnout.
Objectives
This study measured: (1) group-level perceptions of EHR usability pre- and postimplementation of a new EHR; (2) adaptation to the new EHR; and (3) the effects of clinical role, setting, and specialty on these measures.
Methods
Pre- and postimplementation surveys were sent to clinical staff at two academic medical centers (AMC A and AMC B), each part of the same Northeast health system where one instance of a new EHR was implemented starting in 2020. The surveys measured constructs from the Health Information Technology Usability Evaluation Scale (Health-ITUES) and Health Information Technology Adaptation survey. Unpaired t-tests assessed changes in group-level scores from pre- to postimplementation, and multiway analyses of variance with post hoc pairwise t-tests with Bonferroni's correction were used to assess differences in scores by clinical role, setting, and specialty.
Results
Average Perceived Usefulness (PU) and adaptation scores were higher at AMC B than at AMC A, but similar pre- to postimplementation trends were observed at both sites. Perceptions of Quality of Work Life (QWL), PU, and User Control (UC) improved across both sites postimplementation, whereas Perceived Ease of Use and Cognitive Support and Situational Awareness declined. Ordering Providers, Registered Nurses, clinicians practicing in the Emergency Department setting, and Emergency Medicine, and Critical/Intensive Care specialists had statistically different scores across various constructs.
Conclusion
After implementation of a new EHR system at two AMCs, clinical staff perceptions of quality of work life (QWL), perceived usefulness (PU), and user control (UC) generally improved, although perceptions of perceived ease of use and cognitive support declined.
Keywords
electronic health records and systems - implementation and deployment - user satisfaction - interface usability - cognitive support - burnoutProtection of Human and Animal Subjects
This study was approved by the institutional review boards of AMC A and AMC B.
Publication History
Received: 16 January 2025
Accepted: 12 September 2025
Article published online:
17 October 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
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References
- 1 Shanafelt TD, West CP, Dyrbye LN. et al. Changes in burnout and satisfaction with work-life integration in physicians during the first 2 years of the COVID-19 pandemic. Mayo Clin Proc 2022; 97 (12) 2248-2258
- 2 West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences and solutions. J Intern Med 2018; 283 (06) 516-529
- 3 Shanafelt TD, Balch CM, Bechamps G. et al. Burnout and medical errors among American surgeons. Ann Surg 2010; 251 (06) 995-1000
- 4 Kroth PJ, Morioka-Douglas N, Veres S. et al. Association of electronic health record design and use factors with clinician stress and burnout. JAMA Netw Open 2019; 2 (08) e199609
- 5 Melnick ER, Dyrbye LN, Sinsky CA. et al. The association between perceived electronic health record usability and professional burnout among US physicians. Mayo Clin Proc 2020; 95 (03) 476-487
- 6 Harry E, Sinsky C, Dyrbye LN. et al. Physician task load and the risk of burnout among US physicians in a national survey. Jt Comm J Qual Patient Saf 2021; 47 (02) 76-85
- 7 Colligan L, Potts HWW, Finn CT, Sinkin RA. Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record. Int J Med Inform 2015; 84 (07) 469-476
- 8 Shanafelt TD, Dyrbye LN, Sinsky C. et al. Relationship between clerical burden and characteristics of the electronic environment with physician burnout and professional satisfaction. Mayo Clin Proc 2016; 91 (07) 836-848
- 9 Moy AJ, Hobensack M, Marshall K. et al. Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. J Am Med Inform Assoc 2023; 30 (05) 797-808
- 10 Rao SK, Kimball AB, Lehrhoff SR. et al. The impact of administrative burden on academic physicians: results of a hospital-wide physician survey. Acad Med 2017; 92 (02) 237-243
- 11 Gesner E, Gazarian P, Dykes P. The burden and burnout in documenting patient care: an integrative literature review. Stud Health Technol Inform 2019; 264: 1194-1198
- 12 Gesner E, Dykes PC, Zhang L, Gazarian P. Documentation burden in nursing and its role in clinician burnout syndrome. Appl Clin Inform 2022; 13 (05) 983-990
- 13 Abramson EL, Malhotra S, Fischer K. et al. Transitioning between electronic health records: effects on ambulatory prescribing safety. J Gen Intern Med 2011; 26 (08) 868-874
- 14 Abramson EL, Patel V, Malhotra S. et al. Physician experiences transitioning between an older versus newer electronic health record for electronic prescribing. Int J Med Inform 2012; 81 (08) 539-548
- 15 Abramson EL, Malhotra S, Osorio SN. et al. A long-term follow-up evaluation of electronic health record prescribing safety. J Am Med Inform Assoc 2013; 20 (e1): e52-e58
- 16 Abramson EL, Patel V, Pfoh ER, Kaushal R. How physician perspectives on E-prescribing evolve over time. A case study following the transition between EHRs in an outpatient clinic. Appl Clin Inform 2016; 7 (04) 994-1006
- 17 Wright A, Aaron S, Seger DL, Samal L, Schiff GD, Bates DW. Reduced effectiveness of interruptive drug-drug interaction alerts after conversion to a commercial electronic health record. J Gen Intern Med 2018; 33 (11) 1868-1876
- 18 Friebe MP, LeGrand JR, Shepherd BE, Breeden EA, Nelson SD. Reducing inappropriate outpatient medication prescribing in older adults across electronic health record systems. Appl Clin Inform 2020; 11 (05) 865-872
- 19 Barnett ML, Mehrotra A, Jena AB. Adverse inpatient outcomes during the transition to a new electronic health record system: observational study. BMJ 2016; 354: i3835
- 20 Yen PY, Wantland D, Bakken S. Development of a customizable health IT usability evaluation scale. AMIA Annu Symp Proc 2010; 2010: 917-921
- 21 Yen PY, McAlearney AS, Sieck CJ, Hefner JL, Huerta TR. Health information technology (HIT) adaptation: refocusing on the journey to successful HIT implementation. JMIR Med Inform 2017; 5 (03) e28
- 22 Dunn Lopez K, Chin CL, Leitão Azevedo RF. et al. Electronic health record usability and workload changes over time for provider and nursing staff following transition to new EHR. Appl Ergon 2021; 93: 103359
- 23 Elias J, Moy AJ, Lucas E. et al. Assessing clinical staff usability & satisfaction with documentation & information retrieval prior to an electronic health record implementation. AMIA Annu Symp Proc 2020; 1505-1506
- 24 Frintner MP, Kaelber DC, Kirkendall ES, Lourie EM, Somberg CA, Lehmann CU. The effect of electronic health record burden on pediatricians' work-life balance and career satisfaction. Appl Clin Inform 2021; 12 (03) 697-707
- 25 Touson JC, Azad N, Beirne J. et al. Application of the consolidated framework for implementation research model to design and implement an optimization methodology within an ambulatory setting. Appl Clin Inform 2022; 13 (01) 123-131
- 26 Lefchak B, Bostwick S, Rossetti S. et al. Assessing usability and ambulatory clinical staff satisfaction with two electronic health records. Appl Clin Inform 2023; 14 (03) 494-502
- 27 Collins SA, Bakken S, Vawdrey DK, Coiera E, Currie L. Model development for EHR interdisciplinary information exchange of ICU common goals. Int J Med Inform 2011; 80 (08) e141-e149
- 28 Collins S, Bakken S, Vawdrey D, Coiera E, Currie LM. Discuss now, document later: CIS/CPOE perceived to be a ‘shift behind’ in the ICU. Stud Health Technol Inform 2010; 160 (Pt 1): 178-182
- 29 Collins SA, Fred M, Wilcox L, Vawdrey DK. Workarounds used by nurses to overcome design constraints of electronic health records. NI 2012 (2012) 2012; 2012: 93
