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Cited by 271

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Computer-based Physician Order Entry: The State of the Art

Open access
Sittig, D. F., Stead, W. W.·1994·Journal of the American Medical Informatics Association

Abstract

Direct computer-based physician order entry has been the subject of debate for over 20 years. Many sites have implemented systems successfully. Others have failed outright or flirted with disaster, incurring substantial delays, cost overruns, and threatened work actions. The rationale for physician order entry includes process improvement, support of cost-conscious decision making, clinical decision support, and optimization of physicians' time. Barriers to physician order entry result from the changes required in practice patterns, roles within the care team, teaching patterns, and institutional policies. Key ingredients for successful implementation include: the system must be fast and easy to use, the user interface must behave consistently in all situations, the institution must have broad and committed involvement and direction by clinicians prior to implementation, the top leadership of the organization must be committed to the project, and a group of problem solvers and users must meet regularly to work out procedural issues. This article reviews the peer-reviewed scientific literature to present the current state of the art of computer-based physician order entry.

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Metadata

Authors
Sittig, D. F., & Stead, W. W.
Venue
Journal of the American Medical Informatics Association
Published
1994-03-01
Volume
1
Issue
2
Pages
108-123
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W1589148358
Cited by
271
References
43
FWCI
28.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Computer-based Physician Order Entry: The State of the Art. https://app.cochat.ai/papers/10.1136/jamia.1994.95236142
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Sittig, D. F., & Stead, W. W. (1994). Computer-based Physician Order Entry: The State of the Art. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.1994.95236142

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.