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The Adoption of Electronic Medical Records by U.S. Hospitals: An Exploration of Network Methods and Models

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dc.contributor.advisor Schintler, Laura
dc.contributor.author Hu, Yinyue
dc.creator Hu, Yinyue
dc.date 2016-05-15
dc.date.accessioned 2017-01-26T22:08:00Z
dc.date.available 2017-01-26T22:08:00Z
dc.identifier.uri https://hdl.handle.net/1920/10515
dc.description.abstract Why do people adopt innovations at different rate? Studies from the diffusion of innovations and network models suggest that network structure and properties provide good explanations of the influence mechanism about how attitudes and behaviors change. This study investigates the adoption of Electronic Medical Records (EMR) among U.S. hospitals with network methods and models. Three research questions are addressed. First, what is the structure of the networks among hospitals? Second, how does the presence of network contribute to the diffusion of EMR? And third, what network-based policies can accelerate the adoption? The study employs network analysis tools, event history models and agent based modeling to present the structure of the network, its role in the diffusion process and to test different policy scenarios.
dc.language.iso en_US en_US
dc.rights Copyright 2016 Yinyue Hu en_US
dc.subject adoption en_US
dc.subject agent-based modeling en_US
dc.subject Electronic Medical Records en_US
dc.subject hospital en_US
dc.subject innovation en_US
dc.subject network coding en_US
dc.title The Adoption of Electronic Medical Records by U.S. Hospitals: An Exploration of Network Methods and Models en_US
dc.type Dissertation en_US
thesis.degree.name Doctor of Philosophy in Public Policy en_US
thesis.degree.level Doctoral en_US
thesis.degree.discipline Public Policy en_US
thesis.degree.grantor George Mason University en_US


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