The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Computer Physician Order Entry: Benefits, Costs, and Issues
Abstract
Several analyses have detected substantial quality problems throughout the health care system. Information technology has consistently been identified as an important component of any approach for improvement. Computerized physician order entry (CPOE) is a promising technology that allows physicians to enter orders into a computer instead of handwriting them. Because CPOE fundamentally changes the ordering process, it can substantially decrease the overuse, underuse, and misuse of health care services. Studies have documented that CPOE can decrease costs, shorten length of stay, decrease medical errors, and improve compliance with several types of guidelines. The costs of CPOE are substantial both in terms of technology and organizational process analysis and redesign, system implementation, and user training and support. Computerized physician order entry is a relatively new technology, and there is no consensus on the best approaches to many of the challenges it presents. This technology can yield many significant benefits and is an important platform for future changes to the health care system. Organizational leaders must advocate for CPOE as a critical tool in improving health care quality.
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“CPOE systems help to formalize organizational policies and procedures.29”
From Computerized Provider Order Entry Adoption: Implications for Clinical Workflow (2009) · cites this paper as [29]
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Cites
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Crossing the Quality Chasm: A New Health System for the 21st Century
Baker, A. (2001) · BMJ · doi:10.1136/bmj.323.7322.1192 · Cited by 10,779
Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention
Bates, D. W. (1995) · JAMA · doi:10.1001/jama.1995.03530010043033 · Cited by 2,127
Bates, D. W. (1998) · JAMA · doi:10.1001/jama.280.15.1311 · Cited by 2,107
Incidence and Preventability of Adverse Drug Events Among Older Persons in the Ambulatory Setting
Gurwitz, J. H., Field, T. S., Harrold, L. R., Rothschild, J. M., DeBellis, K. R., Seger, A. C., Cadoret, C. A., Fish, L. S., Garber, L., Kelleher, M., et al. (2003) · JAMA · doi:10.1001/jama.289.9.1107 · Cited by 1,666
Chassin, M. R. (1998) · JAMA · doi:10.1001/jama.280.11.1000 · Cited by 1,491
Systems Analysis of Adverse Drug Events
Leape, L. L. (1995) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1995.03530010049034 · Cited by 1,404
Adverse Drug Events in Ambulatory Care
Gandhi, T. K., Weingart, S. N., Borus, J. S., Seger, A. C., Peterson, J. F., Burdick, E., Seger, D. L., Shu, K. M., Federico, F. A., Leape, L. L., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020703 · Cited by 1,371
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
Self-citationA Computer-Assisted Management Program for Antibiotics and Other Antiinfective Agents
Evans, R. S., Pestotnik, S. L., Classen, D. C., Clemmer, T. P., Weaver, L. K., Orme, J. F., Lloyd, J. F., & Burke, J. P. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801223380406 · Cited by 1,060
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Ali, N. A., Mekhjian, H. S., Kuehn, P. L., Bentley, T. D., Kumar, R., Ferketich, A. K., & Hoffmann, S. P. (2005) · Critical Care Medicine · doi:10.1097/01.ccm.0000150266.58668.f9 · Cited by 66
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Metadata
- Authors
- Kuperman, G. J., & Gibson, R. F.
- Affiliations
- Harvard University (US)
- ORCID
- Kuperman, Gilad J.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2003-07-01
- Volume
- 139
- Issue
- 1
- Pages
- 31-39
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2012868071
- Cited by
- 438
- References
- 57
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 8 · 2023: 3 · 2022: 10 · 2021: 10 · 2020: 5 · 2019: 5 · 2018: 8 · 2017: 11 · 2016: 11 · 2015: 13 · 2014: 22 · 2013: 28 · 2012: 30
- FWCI
- 79.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- computerized physician order entry, quality of care, medical errors, health care costs, length of hospital stay, guideline adherence, health care utilization, health information technology, CPOE implementation
- MeSH terms
- Cost-Benefit Analysis, Health Services Misuse, Hospital Information Systems, Humans, Medication Errors, Quality of Health Care, Medical Records Systems, Computerized, Diagnostic Techniques and Procedures
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