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Data driven health system

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Author(s)
Rosen Ceruolo, Melissa Beth
Advisor(s)
Luis Perez-Breva.
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
Effective use of data is believed to be the key to address systemic inefficiencies in health innovation and delivery, and to significantly enhance value creation for patients and all stakeholders. However, there is no definition for health data. Rather, data in health is an assortment of observations and reports varying from science to clinical notes and reimbursement claims that emerge from practice rather than design. What is health data? In this thesis we try to answer that question by looking at the system of health almost exclusively as a system that generates, transforms, and interprets data. We overview the different meanings data has throughout the health system, we analyze systematically the inefficiencies and trends as they emerge from data, and propose a new architecture for the system of health in which data is not present by accident. The result of this thesis is a new architecture for the system of health that is consistent with its present state but also consistent with a future learning system and a redefinition of value in health care that is patient and information centric.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 106-110).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
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http://dspace.mit.edu/handle/1721.1/7582
Persistent DSpace Link
http://hdl.handle.net/1721.1/79531
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