The DOI matches its Crossref record; 18 of the 19 references it cites were found in a registry or an index.
Categorizing the unintended sociotechnical consequences of computerized provider order entry
Abstract
Objective To describe the kinds of unintended consequences related to the implementation of computerized provider order entry (CPOE) in the outpatient setting.Design Ethnographic and interview data were collected by an interdisciplinary team over a 7 month period at four clinics.Measurements Instances of unintended consequences were categorized using an expanded Diffusion of Innovations theory framework.Results The framework was clarified and expanded. There are both desirable and undesirable unintended consequences, and they can be either direct or indirect, but there are also many consequences that are not clearly either desirable or undesirable or may even be both, depending on one's perspective. The undesirable consequences include error and security concerns and issues related to alerts, workflow, ergonomics, interpersonal relations, and reimplementations.Conclusion Consequences of implementing and reimplementing clinical systems are complex. The expanded Diffusion of Innovations theory framework is a useful tool for analyzing such consequences.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Beyond these published reports, several organizations have collectively identified and documented thousands of potential EHR-related safety flaws.34”
From EHR Safety: The Way Forward to Safe and Effective Systems (2008) · cites this paper as [34]
Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789
(2008) · Springer eBooks · doi:10.1007/978-0-387-77282-0_6 · Cited by 17,411
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,367
Wall, A. (2000) · British Journal of Healthcare Management · doi:10.12968/bjhc.2000.6.9.19311 · Cited by 5,912
Qualitative data analysis (2nd ed)
Morse, J. M. (1996) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(96)00056-6 · Cited by 5,613
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
Self-citationRelationship between medication errors and adverse drug events
Bates, D. W., Boyle, D. L., Vliet, M. B. V., Schneider, J., & Leape, L. (1995) · Journal of General Internal Medicine · doi:10.1007/bf02600255 · Cited by 981 · cited 2×
“growing worldwide interest because there is some evidence that it increases medical safety by reducing medical errors [3–8].”
BackgroundDenault, J.-F. (2018) · The business & management collection. · doi:10.69645/rcxl3480 · Cited by 560
Effects of Computerized Physician Order Entry on Prescribing Practices
Teich, J. M., Merchia, P., Schmiz, J. L., Kuperman, G. J., Spurr, C. D., & Bates, D. W. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.18.2741 · Cited by 475
A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission
Overhage, J. M., Tierney, W. M., Zhou, X., & McDonald, C. J. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040364 · Cited by 375
Effect of Computer-Based Alerts on the Treatment and Outcomes of Hospitalized Patients
Rind, D. M. (1994) · Archives of Internal Medicine · doi:10.1001/archinte.1994.00420130107014 · Cited by 323
Computerized Physician Order Entry in U.S. Hospitals: Results of a 2002 Survey
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1427 · Cited by 294
Self-citationComputer-based Physician Order Entry: The State of the Art
Sittig, D. F., & Stead, W. W. (1994) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1994.95236142 · Cited by 273
Self-citationNorris, K., & Vaizey, J. (2018) · Routledge eBooks · doi:10.4324/9781351163804-8 · Cited by 202
Continuance in Expertise-Sharing Networks: A Social Perspective
Tiwana, A., & Bush, A. A. (2005) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2004.839956 · Cited by 160
Learning to use ERP technology: a causal model
Boudreau, M. C. (2003) · 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the · doi:10.1109/hicss.2003.1174611 · Cited by 85
Adding insight: A qualitative cross-site study of physician order entry
Ash, J. S., Sittig, D. F., Seshadri, V., Dykstra, R. H., Carpenter, J. D., & Stavri, P. Z. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.05.005 · Cited by 51
Self-citation
Flagged first, then by citations
1 of the 19 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Interventions to improve antibiotic prescribing practices for hospital inpatients
Davey, P. G., Brown, E. M., Charani, E., Fenelon, L. E., Gould, I. M., Holmes, A. H., Ramsay, C. R., Wiffen, P. J., & Wilcox, M. A. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003543.pub3 · Cited by 1,893
Interventions to improve antibiotic prescribing practices for hospital inpatients
Davey, P., Marwick, C. A., Scott, C. L., Charani, E., McNeil, K., Brown, E., Gould, I. M., Ramsay, C. R., & Michie, S. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003543.pub4 · Cited by 1,068
Types of Unintended Consequences Related to Computerized Provider Order Entry
Campbell, E. M., Sittig, D. F., Ash, J. S., Guappone, K. P., & Dykstra, R. H. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2042 · Cited by 823
Self-citationHarrison, M. I., Koppel, R., & Bar-Lev, S. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2384 · Cited by 691
Cresswell, K., & Sheikh, A. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.10.007 · Cited by 690
Metadata
- Authors
- Ash, J. S., Sittig, D. F., Dykstra, R. H., Guappone, K., Carpenter, J. D., & Seshadri, V.
- Affiliations
- Oregon Health & Science University (US)
- Corresponding author
- Ash, Joan S.
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2007-06
- Volume
- 76
- Pages
- S21-S27
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2004091813
- Cited by
- 267
- References
- 19
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 8 · 2023: 8 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 15 · 2018: 9 · 2017: 18 · 2016: 17 · 2015: 17 · 2014: 18 · 2013: 22 · 2012: 22
- FWCI
- 33.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- U.S. National Library of Medicine (LM06942)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- computerized physician order entry, unintended consequences, diffusion of innovations, outpatient clinics, clinical workflow, clinical alerts, medical errors, patient safety, human factors, interpersonal relationships, health information technology
- MeSH terms
- Ambulatory Care, Diffusion of Innovation, Humans, Interviews as Topic, Oregon, Sociology, Medical, Interdisciplinary Communication, Medical Order Entry Systems
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