Computerized provider documentation: findings and implications of a multisite study of clinicians and administrators: Table 1
Open accessAbstract
OBJECTIVE: Clinical documentation is central to the medical record and so to a range of healthcare and business processes. As electronic health record adoption expands, computerized provider documentation (CPD) is increasingly the primary means of capturing clinical documentation. Previous CPD studies have focused on particular stakeholder groups and sites, often limiting their scope and conclusions. To address this, we studied multiple stakeholder groups from multiple sites across the USA. METHODS: We conducted 14 focus groups at five Department of Veterans Affairs facilities with 129 participants (54 physicians or practitioners, 34 nurses, and 37 administrators). Investigators qualitatively analyzed resultant transcripts, developed categories linked to the data, and identified emergent themes. RESULTS: Five major themes related to CPD emerged: communication and coordination; control and limitations in expressivity; information availability and reasoning support; workflow alteration and disruption; and trust and confidence concerns. The results highlight that documentation intertwines tightly with clinical and administrative workflow. Perceptions differed between the three stakeholder groups but remained consistent within groups across facilities. CONCLUSIONS: CPD has dramatically changed documentation processes, impacting clinical understanding, decision-making, and communication across multiple groups. The need for easy and rapid, yet structured and constrained, documentation often conflicts with the need for highly reliable and retrievable information to support clinical reasoning and workflows. Current CPD systems, while better than paper overall, often do not meet the needs of users, partly because they are based on an outdated 'paper-chart' paradigm. These findings should inform those implementing CPD systems now and future plans for more effective CPD systems.
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The note generation task from doctor-patient encounters and its associated electronic medical record documentation is one of the most arduous and time-consuming tasks for physicians.
“The note generation task from doctor-patient encounters, and its associated electronic medical record documentation, is one of the most arduous time-consuming tasks for physicians.”
From Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation (2023) · cites this paper as [2]
The Results (‘Workflow alteration and disruption’) describe electronic documentation as time-consuming, and the Discussion calls the time and effort of creating notes major workflow disruptors. The paper does not compare note generation with physicians’ other tasks or establish that it is among their most arduous. (LLM, conf=0.84)
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Cites
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789 · see citing works
Brennen, B. S. (2017) · Routledge eBooks · doi:10.4324/9781315435978-2 · Cited by 1,487 · see citing works
Häyrinen, K., Saranto, K., & Nykänen, P. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.09.001 · Cited by 1,303 · see citing works
The Impact of Computerized Physician Order Entry on Medication Error Prevention
Bates, D. W., Teich, J. M., Lee, J., Seger, D., Kuperman, G. J., Ma'Luf, N., Boyle, D., & Leape, L. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.00660313 · Cited by 1,260 · see citing works
Medical Records That Guide and Teach
Weed, L. L. (1968) · New England Journal of Medicine · doi:10.1056/nejm196803142781105 · Cited by 1,003 · see citing works
Patient care information systems and health care work: a sociotechnical approach
Berg, M. (1999) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00011-8 · Cited by 786 · see citing works
Blumenthal, D. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0912825 · Cited by 727 · see citing works
Dayhoff, J. E., & DeLeo, J. M. (2001) · Cancer · doi:10.1002/1097-0142(20010415)91:8+ · Cited by 436 · see citing works
Data from clinical notes: a perspective on the tension between structure and flexible documentation
Rosenbloom, S. T., Denny, J. C., Xu, H., Lorenzi, N., Stead, W. W., & Johnson, K. B. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.007237 · Cited by 404 · see citing works
Patterson, E. S., Cook, R. I., & Render, M. L. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1061 · Cited by 370 · see citing works
Massaro, T. A. (1993) · Academic Medicine · doi:10.1097/00001888-199301000-00003 · Cited by 287 · see citing works
Computational Technology for Effective Health Care
National Research Council (2009) · National Academies Press eBooks · doi:10.17226/12572 · Cited by 283 · see citing works
Health Information Technology: Laying The Infrastructure For National Health Reform
Buntin, M. B., JAIN, S. H., & Blumenthal, D. (2010) · Health Affairs · doi:10.1377/hlthaff.2010.0503 · Cited by 249 · see citing works
The Use of Electronic Medical Records: Communication Patterns in Outpatient Encounters
Makoul, G. T., Curry, R. H., & Tang, P. C. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080610 · Cited by 240 · see citing works
Embí, P. J. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1525 · Cited by 199 · see citing works
Berg, M., Langenberg, C. J. M., Berg, I. V. D., & Kwakkernaat, J. (1998) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(98)00143-9 · Cited by 183 · see citing works
The electronic patient record in primary care–regression or progression? A cross sectional study.
Hippisley-Cox, J., Pringle, M., Cater, R., Wynn, A., Hammersley, V., Coupland, C., Hapgood, R., Horsfield, P., Teasdale, S., & Johnson, C. (2003) · BMJ · doi:10.1136/bmj.326.7404.1439 · Cited by 176 · see citing works
Knowledge resource preferences of family physicians.
Connelly, D. P., Rich, E. C., Curley, S. P., & Kelly, J. T. (1990) · PubMed · Cited by 158 · see citing works
Are electronic medical records trustworthy? Observations on copying, pasting and duplication.
Hammond, K. W., Helbig, S., Benson, C. C., & Brathwaite-Sketoe, B. M. (2003) · PubMed · Cited by 138 · see citing works
Self-citationIntroducing physician order entry at a major academic medical center
Massaro, T. A. (1993) · Academic Medicine · doi:10.1097/00001888-199301000-00004 · Cited by 138 · see citing works
Hsiao, C., Hing, E., Socey, T. C., & Cai, B. (2011) · PubMed · Cited by 138 · see citing works
Tang, P. C., LaRosa, M. P., & Gorden, S. M. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060245 · Cited by 137 · see citing works
Toward Reuse of Clinical Data for Research and Quality Improvement: The End of the Beginning?
Weiner, M. G., & Embi, P. J. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-5-200909010-00141 · Cited by 129 · see citing works
Self-citationPhysicians’ Attitudes Towards Copy and Pasting in Electronic Note Writing
O’Donnell, H. C., Kaushal, R., Barrón, Y., Callahan, M. A., Adelman, R. D., & Siegler, E. L. (2008) · Journal of General Internal Medicine · doi:10.1007/s11606-008-0843-2 · Cited by 123 · see citing works
Direct text entry in electronic progress notes. An evaluation of input errors.
Weir, C. R., Hurdle, J. F., Felgar, M. A., Hoffman, J. M., Roth, B., & Nebeker, J. R. (2003) · PubMed · Cited by 122 · see citing works
Self-citationComputerized physician order entry and quality of care
Bates, D. W., Kuperman, G. J., & Teich, J. M. (1994) · Quality Management in Health Care · doi:10.1097/00019514-199402040-00005 · Cited by 112 · see citing works
Weir, C. R., Nebeker, J. R., Hicken, B. L., Campo, R., Drews, F. A., & LeBar, B. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2231 · Cited by 110 · see citing works
Self-citationBuilding a Comprehensive Clinical Information System from Components
Narus, S. P., Huff, S. M., Pryor, T. A., Haug, P. J., Larkin, T., Matney, S. A., Evans, R. S., Rocha, B. H., Bowes, W., Holston, F. T., et al. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634203 · Cited by 109 · see citing works
Comparison of Time Spent Writing Orders on Paper with Computerized Physician Order Entry
Shu, K. M., Boyle, D., Spurr, C. D., Horsky, J., Heiman, H. L., Paula, O., John, L., & Bates, D. W. (2001) · Studies in health technology and informatics · doi:10.3233/978-1-60750-928-8-1207 · Cited by 108 · see citing works
Cusack, C. M., Hripcsak, G., Bloomrosen, M., Rosenbloom, S. T., Weaver, C. A., Wright, A., Vawdrey, D. K., Walker, J., & Mamykina, L. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001093 · Cited by 103 · see citing works
Copying and pasting of examinations within the electronic medical record
Thielke, S. M., Hammond, K. W., & Helbig, S. (2006) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.06.004 · Cited by 100 · see citing works
Self-citationApkon, M., & Singhaviranon, P. (2000) · Intensive Care Medicine · doi:10.1007/s001340000777 · Cited by 95 · see citing works
Impact of computerized physician order entry on physician time.
Bates, D. W., Boyle, D. L., & Teich, J. M. (1994) · PubMed · Cited by 92 · see citing works
Electronic Health Record Components and the Quality of Care
Keyhani, S., Hebert, P. L., Ross, J. S., Federman, A. D., Zhu, C. W., & Siu, A. L. (2008) · Medical Care · doi:10.1097/mlr.0b013e31817e18ae · Cited by 92 · see citing works
Model development for EHR interdisciplinary information exchange of ICU common goals
Collins, S., Henry, S. B., Vawdrey, D. K., Coiera, E. W., & Currie, L. M. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.09.009 · Cited by 83 · see citing works
Collins, S., Stein, D. M., Vawdrey, D. K., et al. (2011) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2011.01.013 · Cited by 79 · see citing works
The Clinical Record in Medicine Part 1: Learning from Cases
REISER, S. J. (1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-10-902 · Cited by 78 · see citing works
Physician order entry in U.S. hospitals.
Ash, J. S., Gorman, P., & Hersh, W. (1998) · PubMed Central · Cited by 75 · see citing works
Preliminary Development of the Physician Documentation Quality Instrument
Stetson, P. D., Morrison, F. P., Henry, S. B., & Johnson, S. B. (2008) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2404 · Cited by 71 · see citing works
Perceptions of house officers who use physician order entry.
Ash, J. S., Gorman, P., Hersh, W., Lavelle, M., & Poulsen, S. B. (1999) · PubMed Central · Cited by 58 · see citing works
An exploration of the impact of computerized patient documentation on clinical collaboration
Weir, C. R., Hammond, K. W., Embí, P. J., Efthimiadis, E. N., Thielke, S. M., & Hedeen, A. N. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.01.003 · Cited by 56 · see citing works
Self-citationMultiple perspectives on physician order entry.
Ash, J. S., Gorman, P., Lavelle, M., & Lyman, J. A. (2000) · Europe PMC (PubMed Central) · Cited by 50 · see citing works
Translational informatics: enabling high-throughput research paradigms
Payne, P., Embí, P. J., & Sen, C. K. (2009) · Physiological Genomics · doi:10.1152/physiolgenomics.00050.2009 · Cited by 49 · see citing works
Cognitive factors influencing perceptions of clinical documentation tools
Rosenbloom, S. T., Crow, A. N., Blackford, J. U., & Johnson, K. B. (2006) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2006.06.006 · Cited by 37 · see citing works
Biomedical Informatics and Outcomes Research
Embí, P. J., Kaufman, S. E., & Payne, P. (2009) · Circulation · doi:10.1161/circulationaha.108.795526 · Cited by 35 · see citing works
Critical issues in an electronic documentation system.
Weir, C. R., & Nebeker, J. R. (2007) · PubMed Central · Cited by 34 · see citing works
Self-citationFaculty, resident, and clinic staff's evaluation of the effects of EHR implementation.
Bloom, M. V., & Huntington, M. K. (2010) · PubMed · Cited by 33 · see citing works
Hoyt, R., & Yoshihashi, A. K. (2010) · PubMed · Cited by 28 · see citing works
Alternative measures of electronic health record adoption among hospitals.
Blavin, F. E., Buntin, M. J. B., & Friedman, C. P. (2010) · PubMed · Cited by 24 · see citing works
Computerizing Large Integrated Health Networks
(1997) · Springer eBooks · doi:10.1007/978-1-4612-0655-2 · Cited by 20 · see citing works
Yackel, T. R., & Embí, P. J. (2006) · JAMA · doi:10.1001/jama.296.19.2315-a · Cited by 19 · see citing works
Initial Steps toward Validating and Measuring the Quality of Computerized Provider Documentation.
Hammond, K. W., Efthimiadis, E. N., Weir, C. R., et al. (2010) · PubMed · Cited by 11 · see citing works
Self-citationCommunication and documentation considerations for electronic health records
Gaffey, A. D. (2009) · Journal of Healthcare Risk Management · doi:10.1002/jhrm.20010 · Cited by 10 · see citing works
Omnibus Budget Reconciliation Act of 1990 (Public Law 101-508).
(1991) · PubMed · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Granja, C., Janssen, W., & Johansen, M. A. (2018) · Journal of Medical Internet Research · doi:10.2196/10235 · Cited by 578 · see citing works
“Less mentioned, but still significant, were statements that eHealth is impersonal and, therefore, undermines face-to-face communication [56,72,86,87,91,106], substantiated by the claim that the foundation of good nursing is physical presence, human touch, and the use of all senses.”
BackgroundMethodInfluential<p>The role of medical data in efficient patient care delivery: a review</p>
Adane, K., Gizachew, M., & Kendie, S. (2019) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s179259 · Cited by 120 · see citing works
MedSTS: a resource for clinical semantic textual similarity
Wang, Y., Afzal, N., Fu, S., Wang, L., Shen, F., Rastegar-Mojarad, M., & Liu, H. (2020) · Language Resources and Evaluation · doi:10.1007/s10579-018-9431-1 · Cited by 124 · see citing works
Yim, W.-W., Fu, Y., Ben Abacha, A., Snider, N., Lin, T., & Yetisgen, M. (2023) · Scientific Data · doi:10.1038/s41597-023-02487-3 · Cited by 64 · see citing works
Hammond, K. W., Ben‐Ari, A. Y., Laundry, R. J., Boyko, E. J., & Samore, M. H. (2015) · Journal of Traumatic Stress · doi:10.1002/jts.22058 · Cited by 29 · see citing works
Self-citationCroxford, E., Gao, Y., First, E., Pellegrino, N., Schnier, M., Caskey, J., Oguss, M., Wills, G., Chen, G., Dligach, D., et al. (2025) · doi:10.1101/2025.04.22.25326219 · Cited by 25 · see citing works
- Authors
- Embi, P. J., Weir, C., Efthimiadis, E. N., Thielke, S. M., Hedeen, A. N., & Hammond, K. W.
- Affiliations
- University of Utah (US)
- University of Washington (US)
- VA Puget Sound Health Care System (US)
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-07
- Volume
- 20
- Issue
- 4
- Pages
- 718-726
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC3721152
- OpenAlex
- W2147733805
- Cited by
- 74
- References
- 54
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 9 · 2021: 2 · 2020: 6 · 2019: 7 · 2018: 7 · 2017: 6 · 2016: 4 · 2015: 8 · 2014: 8 · 2013: 2
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of the American Medical Informatics Association (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Health Services Research and Development
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- electronic health records, clinical documentation, stakeholder perspectives, physicians, nurses, hospital administrators, clinical workflow, information availability, workflow disruption, Department of Veterans Affairs
- MeSH terms
- Administrative Personnel, Attitude of Health Personnel, Attitude to Computers, Documentation, Humans, Nurses, Physicians, United States, United States Department of Veterans Affairs, Medical Records Systems, Computerized, Focus Groups, Electronic Health Records
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