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A decision analytic approach to Web-based clinician training

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dc.contributor.advisor Richard C. Larson. en_US
dc.contributor.author Chandler, Lincoln J., 1977- en_US
dc.contributor.other Massachusetts Institute of Technology. Operations Research Center. en_US
dc.date.accessioned 2005-09-27T19:06:29Z
dc.date.available 2005-09-27T19:06:29Z
dc.date.copyright 2005 en_US
dc.date.issued 2005 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/28927
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2005. en_US
dc.description Includes bibliographical references (p. 43). en_US
dc.description.abstract Given the desire to create interactive websites that effectively engage and instruct medical professionals, an alternative model for online case studies was developed. The resulting application presents the user with a virtual patient, asks for information regarding the treatment and care of that patient, and provides customized feedback to the user. When a person uses this application, one could say the goal of the user is to make the necessary decisions that will stabilize the patient, and the goal of the application is to provide feedback regarding those decisions. In order to adapt to user decisions, the design incorporates an unconventional use of decision analysis. The source of uncertainty is the clinician's strategy, or sequence of decisions. Given the user's decision, the appropriate system response is assumed to be uncertain a priori. The proposed model requires the application to conduct an internal analysis, and then condition the response on the circumstances under which the decision is made. This conditioning approach informs the patient's behavior during the simulation, and it determines the appropriate constructive feedback for the user. Intuitively, a system constructed using the proposed model is better suited to address the educational needs of an individual learner. Also, despite the context of this model, it is noted that the proposed model need not be restricted to medical applications. en_US
dc.description.statementofresponsibility by Lincoln J. Chandler. en_US
dc.format.extent 51 p. en_US
dc.format.extent 3505749 bytes
dc.format.extent 3509784 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.relation.requires CDROM contains prototype in .class, .java and .jpg formats. 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
dc.subject Operations Research Center. en_US
dc.title A decision analytic approach to Web-based clinician training en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Massachusetts Institute of Technology. Operations Research Center. en_US
dc.identifier.oclc 60524011 en_US


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