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Influence, information overload, and information technology in health care

Author: James B Rebitzer; Mari Rege; Christopher Shepard; National Bureau of Economic Research.
Publisher: Cambridge, Mass. : National Bureau of Economic Research, 2008.
Series: Working paper series (National Bureau of Economic Research), no. 14159.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
We investigate whether information technology can help physicians more efficiently acquire new knowledge in a clinical environment characterized by information overload. Our analysis makes use of data from a randomized trial as well as a theoretical model of the influence that information technology has on the acquisition of new medical knowledge. Although the theoretical framework we develop is conventionally  Read more...
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Additional Physical Format: Print version:
Rebitzer, James B.
Influence, information overload, and information technology in health care.
Cambridge, Mass. : National Bureau of Economic Research, 2008
(DLC) 2008610976
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James B Rebitzer; Mari Rege; Christopher Shepard; National Bureau of Economic Research.
OCLC Number: 234177197
Description: 1 online resource (1 volume).
Series Title: Working paper series (National Bureau of Economic Research), no. 14159.
Responsibility: James B. Rebitzer, Mari Rege, Christopher Shepard.

Abstract:

We investigate whether information technology can help physicians more efficiently acquire new knowledge in a clinical environment characterized by information overload. Our analysis makes use of data from a randomized trial as well as a theoretical model of the influence that information technology has on the acquisition of new medical knowledge. Although the theoretical framework we develop is conventionally microeconomic, the model highlights the non-market and non-pecuniary influence activities that have been emphasized in the sociological literature on technology diffusion. We report three findings. First, empirical evidence and theoretical reasoning suggests that computer based decision support will speed the diffusion of new medical knowledge when physicians are coping with information overload. Secondly, spillover effects will likely lead to "underinvestment" in this decision support technology. Third, alternative financing strategies common to new information technology, such as the use of marketing dollars to pay for the decision support systems, may lead to undesirable outcomes if physician information overload is sufficiently severe and if there is significant ambiguity in how best to respond to the clinical issues identified by the computer.

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