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Cited by 158

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Technology and Health Care

White, Kerr L., Murnaghan, Jane H., Gaus, Clifton R.·1972·New England Journal of Medicine

Abstract

Abstract People's needs, not availability of technology, should determine policies and priorities for its application in health services. Technology can improve efficiency and assist in solution of problems, but cannot "drive the system" or cure all ills. Fragmentation of markets, lack of organized health-care systems, and absence of national policies and standards are serious deterrents to technologic innovation. To avoid costly failures, we should concentrate initially on applications that reinforce services of demonstrated efficacy and affect large numbers of patients and providers. Before widespread adoption, we must rigorously test and evaluate the cost effectiveness and acceptability of these applications. Areas offering the greatest immediate potential for technologic applications include management information systems and "do-it-yourself" tests and devices for ambulatory medical care, hospital-discharge abstract systems, automation of commonly performed procedures in clinical laboratories, emergency-care systems for defined populations, restorative devices, and new communications media for health education.

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Metadata

Authors
White, K. L., Murnaghan, J. H., & Gaus, C. R.
Venue
New England Journal of Medicine
Published
1972-12-14
Volume
287
Issue
24
Pages
1223-1227
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2033234872
Cited by
158
References
0
FWCI
4.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Technology and Health Care. https://app.cochat.ai/papers/10.1056/nejm197212142872404
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White, K. L., Murnaghan, J. H., & Gaus, C. R. (1972). Technology and Health Care. New England Journal of Medicine. https://doi.org/10.1056/nejm197212142872404

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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.