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Cited by 337

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

Technology Assessment

Matuszewski, Karl A.·2005·Epidemiology and the Delivery of Health Care Services

Abstract

Who should ultimately decide what is standard therapy,state-of-the-art, or investiga- tional: juries, judges, politicians, scientists, providers,patients, or payers? This question has no clear answer. This chapter strongly recommends that health care administrators, providers, and payers should all be familiar with the elements of technology assessment as a means of monitoring the quality and cost-effectiveness of health care delivery and should utilize epidemiological information, particularly on utilization trends and studies of risks versus benefits of new technologies. Future health care administrators, as important decision makers in new technology acquisition, must possess a comprehensive understanding of the issues involved in the process of technology assessment as well as the ability to interpret the primary medical literature knowledgeably, using epidemiological methods to assess the relative merits and limitations of new technologies. In this way, proactive technology decisions will be made, not reactive decisions based on external pressures.

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Metadata

Authors
Matuszewski, K. A.
Venue
Epidemiology and the Delivery of Health Care Services
Published
2005-12-16
Pages
235-260
OpenAlex
W4255959192
Cited by
337
References
5
FWCI
48.28
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Technology Assessment. https://app.cochat.ai/papers/10.1007/0-306-47557-x_10
The paper
Matuszewski, K. A. (2005). Technology Assessment. Epidemiology and the Delivery of Health Care Services. https://doi.org/10.1007/0-306-47557-x_10

Data sources

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.