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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Health Economicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Economics
Article . 2007 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Health Economics
Article . 2008
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The adoption of hospital information systems

Authors: Jeffrey S, McCullough;

The adoption of hospital information systems

Abstract

AbstractThis paper empirically examines the diffusion of hospital information systems (ISs), specifically, pharmacy, laboratory, and radiology systems. Given the policy significance of health IS and the widespread perception that it's diffusion is slow, a better understanding of the mechanisms driving IS adoption is needed. A novel data set incorporating both IS adoption and hospital characteristics was constructed. These data follow the behavior of 1965 hospitals for the years 1990–2000. Hypotheses pertaining to hospital characteristics, hospital competition, and strategic behavior are tested utilizing proportional hazard models. I find that IS adoption is related to multi‐hospital system membership, payer mix, and hospital scale. The role of scale, however, significantly diminishes throughout the time period, likely reflecting improved personal computer performance and improved IT scalability. Conversely, I find little that strategic behavior or hospital competition affects IS adoption. Likewise, hospital ownership does not affect the adoption of these systems. Overall, these results suggest that hospital IS diffusion has not been normatively slow. Copyright © 2007 John Wiley & Sons, Ltd.

Related Organizations
Keywords

Hospital Administration, Medical Records Systems, Computerized, Hospital Information Systems, Humans, Diffusion of Innovation, United States, Proportional Hazards Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
69
Top 10%
Top 10%
Top 10%
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