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The impact of electronic health record systems on clinical documentation times: A systematic review
Abstract
Background Effective management of hospital staff time is crucial to quality patient care. Recent years have seen widespread implementation of electronic health record (EHR) systems but the effect of this on documentation time is unknown. This review compares time spent on documentation tasks by hospital staff (physicians, nurses and interns) before and after EHR implementation.Methods A systematic search identified 8153 potentially relevant citations. Studies examining proportion of total workload spent on documentation with ≥40 h of staff observation time were included. Meta-analysis was performed for physicians, nurses and interns comparing pre- and post-EHR results. Studies were weighted by person-hours observation time.Results Twenty-eight studies met selection criteria. Seventeen were pre-EHR, nine post-EHR and two examined both periods. With implementation of EHR, physicians' documentation time increased from 16% (95% confidence interval (CI) 11-22%) to 28% (95% CI 19-37%), nurses from 9% (95% CI 6-12%) to 23% (95% CI 15-32%) and interns from 20% (95% CI 7-32%) to 26% (95% CI 10-42%).Conclusions There is a lack of long-term follow-up on the effects of EHR implementation. Initial adjustment to EHR appears to increase documentation time but there is some evidence that as staff become more familiar with the system, it may ultimately improve work flow.
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“physicians spend more time documenting since the introduction of Electronic Health Records (EHRs), with some spending more than 50% of their time using EHRs [3,4].”
From Implementation of large language models in electronic health records (2025) · cites this paper as [4]
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“with some spending more than 50% of their time using EHRs [3,4].”
From Implementation of large language models in electronic health records (2025) · cites this paper as [4]
Citations
Cites
Improving Safety with Information Technology
Bates, D. W., & Gawande, A. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020847 · Cited by 1,544
Bates, D. W., Kuperman, G. J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Spurr, C., Khorasani, R., Tanasijevic, M., & Middleton, B. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1370 · Cited by 1,346
Poissant, L. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1700 · Cited by 901
Evaluating computerised health information systems: hard lessons still to be learnt
Littlejohns, P., Wyatt, J. C., & Garvican, L. (2003) · BMJ · doi:10.1136/bmj.326.7394.860 · Cited by 407
Westbrook, J. I., Duffield, C., Li, L., & Creswick, N. J. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-319 · Cited by 376
Australian hospital statistics 1995–96
Brown, M., Cooper‐Stanbury, M., Foedinger, G., Hargreaves, J., Marlton, P., Moon, L., & SCHOFIELD, D. J. (1997) · Cited by 373
Block, L., Habicht, R. J., Wu, A. W., Desai, S. V., Wang, K., Silva, K. N., Niessen, T. M., Oliver, N. T., & Feldman, L. S. (2013) · Journal of General Internal Medicine · doi:10.1007/s11606-013-2376-6 · Cited by 281
Nurses’ perceptions of the impact of electronic health records on work and patient outcomes
KOSSMAN, S. P., & SCHEIDENHELM, S. L. (2008) · CIN: Computers, Informatics, Nursing · doi:10.1097/01.ncn.0000304775.40531.67 · Cited by 208
Westbrook, J. I., Ampt, A. J., Kearney, L., & Rob, M. I. (2008) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2008.tb01762.x · Cited by 180
Burnout and perceived quality of care among German clinicians in surgery
Klein, J., Frie, K. G., Blum, K., & Knesebeck, O. V. D. (2010) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzq056 · Cited by 180
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Asgari, E., Kaur, J., Nuredini, G., Balloch, J., Taylor, A. M., Sebire, N., Robinson, R., Peters, C., Sridharan, S., & Pimenta, D. (2024) · JMIR Medical Informatics · doi:10.2196/55499 · Cited by 142
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Lindberg, D. S., Prosperi, M., Bjarnadottir, R. I., Thomas, J., Crane, M., Chen, Z., Shear, K., Solberg, L. M., Snigurska, U. A., Wu, Y., et al. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104272 · Cited by 95
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Alobayli, F. Y., O’Connor, S., Holloway, A. S., & Cresswell, K. M. (2023) · Digital Health · doi:10.1177/20552076231220241 · Cited by 103
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Ho, S.-S., Stenhouse, R., & Snowden, A. (2021) · Journal of Clinical Nursing · doi:10.1111/jocn.15777 · Cited by 67
Virtanen, L., Kaihlanen, A., Laukka, E., Gluschkoff, K., & Heponiemi, T. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104432 · Cited by 54
Schopf, T. R., Nedrebø, B., Hufthammer, K. O., Daphu, I., & Lærum, H. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4763-0 · Cited by 59
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McCrorie, C., Benn, J. J., Johnson, O. A., & Scantlebury, A. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0952-3 · Cited by 60
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Stanhope, V., & Matthews, E. B. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0897-6 · Cited by 55
Kipruto, H., Muneene, D., Droti, B., Jepchumba, V., Okeibunor, J., Nabyonga‐Orem, J., & Karamagi, H. C. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.874251 · Cited by 46
Dagli, M. M., Ghenbot, Y. G., Ahmad, H. S., Chauhan, D., Turlip, R., Wang, P., Welch, W. C., Ozturk, A. K., & Yoon, J. W. (2024) · Scientific Reports · doi:10.1038/s41598-024-77535-y · Cited by 42
Wasterlain, A. S., Courtney, P. M., Yayac, M. F., Nazarian, D. G., & Austin, M. S. (2019) · The Journal of Arthroplasty · doi:10.1016/j.arth.2019.06.039 · Cited by 41
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Hobensack, M., Levy, D. R., Cato, K., Detmer, D. E., Johnson, K. B., Williamson, J., Murphy, J., Moy, A., Withall, J., Lee, R., et al. (2022) · Applied Clinical Informatics · doi:10.1055/s-0042-1746169 · Cited by 37
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Zurynski, Y. A., Ellis, L. A., Tong, H. L., Laranjo, L., Clay‐Williams, R., Testa, L., Meulenbroeks, I., Turton, C., & Sara, G. E. (2021) · JMIR Mental Health · doi:10.2196/30564 · Cited by 42
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Chu, W., Kristiani, E., Wang, Y.-C., Lin, Y., Lin, S., Chan, W., Yang, C., & Tsan, Y. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.937216 · Cited by 34
Levy, D. R., Withall, J. B., Mishuris, R. G., Tiase, V. L., Diamond, C., Douthit, B. J., Grabowska, M. E., Lee, R. Y., Moy, A. J., Sengstack, P. R., et al. (2024) · Applied Clinical Informatics · doi:10.1055/a-2385-1654 · Cited by 36
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Ausserhofer, D., Favez, L., Simon, M., & Zúñiga, F. (2021) · JMIR Medical Informatics · doi:10.2196/22974 · Cited by 32
Jedwab, R. M., Manias, E., Redley, B., Dobroff, N., & Hutchinson, A. M. (2023) · Journal of Clinical Nursing · doi:10.1111/jocn.16730 · Cited by 30
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Bleicher, J. M., Jordan Esplin, B., Blumling, A. N., Cohan, J. N., Savarise, M. T., Wetter, D. W., Harris, A. H. S., Kaphingst, K. A., & Huang, L. C. (2021) · Journal of Opioid Management · doi:10.5055/jom.2021.0680 · Cited by 31
Lawrence, K. S., Singh, N. P., Jonassen, Z., Groom, L. L., Arias, V. A., Mandal, S., Schoenthaler, A., Mann, D., Nov, O., & Dove, G. (2023) · JMIR Human Factors · doi:10.2196/45166 · Cited by 32
Naamneh, R., & Bodas, M. (2024) · BMC Nursing · doi:10.1186/s12912-024-01936-7 · Cited by 30
Kaihlanen, A., Elovainio, M. J., Virtanen, L., Kinnunen, U., Vehko, T., Saranto, K., & Heponiemi, T. (2023) · Journal of Advanced Nursing · doi:10.1111/jan.15718 · Cited by 33
Ebbers, T., Takes, R. P., Smeele, L. E., Kool, R. B., van den Broek, G. B., & Dirven, R. J. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105344 · Cited by 29
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Balasubramanian, M., Hasan, A. G., Ganbavale, S. G., Alolayah, A., & Gallagher, J. E. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18062891 · Cited by 34
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Metadata
- Authors
- Baumann, L. A., Baker, J., & Elshaug, A. G.
- Affiliations
- University of Bremen (DE)
- The University of Sydney (AU)
- Corresponding author
- Elshaug, Adam G.
- Venue
- Health Policy
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 122
- Issue
- 8
- Pages
- 827-836
- ISSN
- 0168-8510 (ISSN-L)
- OpenAlex
- W2805432200
- Cited by
- 320
- References
- 45
- Citations by year
- 2026: 37 · 2025: 47 · 2024: 52 · 2023: 42 · 2022: 45 · 2021: 45 · 2020: 27 · 2019: 22 · 2018: 1
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Policy (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- HCF Research Foundation Professorial Research Fellow
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- electronic health records, physician documentation, nursing documentation, medical interns, hospital staff workload, EHR implementation
- MeSH terms
- Documentation, Patient Care, Hospitals, Humans, Patient Care Team, Quality of Health Care, Time Factors, Workload, Electronic Health Records
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