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Cited by 395

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A Proposal for Electronic Medical Records in U.S. Primary Care

Open access
Bates, D. W., Ebell, M., Gotlieb, E., Zapp, J., Mullins, H. C.·2003·Journal of the American Medical Informatics Association

Abstract

Delivery of excellent primary care-central to overall medical care-demands that providers have the necessary information when they give care. This paper, developed by the National Alliance for Primary Care Informatics, a collaborative group sponsored by a number of primary care societies, argues that providers' and patients' information and decision support needs can be satisfied only if primary care providers use electronic medical records (EMRs). Although robust EMRs are now available, only about 5% of U.S. primary care providers use them. Recently, with only modest investments, Australia, New Zealand, and England have achieved major breakthroughs in implementing EMRs in primary care. Substantial benefits realizable through routine use of electronic medical records include improved quality, safety, and efficiency, along with increased ability to conduct education and research. Nevertheless, barriers to adoption exist and must be overcome. Implementing specific policies can accelerate utilization of EMRs in the U.S.

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Citations

Cites

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Metadata

Authors
Bates, D. W., Ebell, M., Gotlieb, E., Zapp, J., & Mullins, H. C.
Venue
Journal of the American Medical Informatics Association
Published
2003-01-01
Volume
10
Issue
1
Pages
1-10
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2099044471
Cited by
395
References
5
FWCI
64.72
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Proposal for Electronic Medical Records in U.S. Primary Care. https://app.cochat.ai/papers/10.1197/jamia.m1097
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Bates, D. W., Ebell, M., Gotlieb, E., Zapp, J., & Mullins, H. C. (2003). A Proposal for Electronic Medical Records in U.S. Primary Care. Journal of the American Medical Informatics Association. https://doi.org/10.1197/jamia.m1097

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.