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Adoption of healthcare information technology and the impact on clinician behavior

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dc.contributor.advisor Teo Forcht Dagi and John Halamka. en_US
dc.contributor.author Weinstein, Adam, S.M. Massachusetts Institute of Technology en_US
dc.contributor.other Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.date.accessioned 2010-04-28T17:06:23Z
dc.date.available 2010-04-28T17:06:23Z
dc.date.issued 2009 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/54592
dc.description Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009. en_US
dc.description "June 2009." Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 49-52). en_US
dc.description.abstract It is widely believed that healthcare information technology (health IT) can improve care and lower costs. However, the pattern and uptake of beneficial features of health IT is poorly understood, and is an important part of realizing the full benefits of health IT. This thesis examines the factors relating to adoption and use of reporting features within an outpatient practice management system. A retrospective observational study was performed utilizing web log data from a practice management and electronic health record system vendor. Two years of data were analyzed on the use of features within the system in two different scenarios: the use of a newly released custom reporting feature among existing clients, and the use of a physician-level monthly report among new clients. Among these two different populations and features, the first use and subsequent utilization exhibited similar patterns. Using the Bass model of technology diffusion to quantify the adoption of these features, it was found that adoption had a low social component (coefficient of imitation) and a high personal component (coefficient of innovation). One physician's use of a feature in his practice did not appear to influence whether a new physician joining the same practice would use the feature. In addition, the earliest users of a feature tended to utilize that feature more often. Practices and providers that used these features performed better across three of four operational and financial metrics. The purchase and installation of a health IT system by an organization does not ensure that individuals within it will fully utilize the system and realize all the benefits. en_US
dc.description.abstract (cont.) Incentives for health IT should focus on the advantages gained from these systems, and not merely on their purchase. Health IT vendors should be cognizant of the way they introduce new functionality to their clients in order to ensure maximal use. en_US
dc.description.statementofresponsibility by Adam Weinstein. en_US
dc.format.extent 52 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.title Adoption of healthcare information technology and the impact on clinician behavior en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.identifier.oclc 586002664 en_US


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