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Luis Perez-Breva. Rosen Ceruolo, Melissa Beth Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division 2013-07-10T14:52:26Z 2013-07-10T14:52:26Z 2013 2013 http://hdl.handle.net/1721.1/79531 849903604 Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 106-110). 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. by Melissa Beth Rosen Ceruolo. S.M. 114 p. eng Massachusetts Institute of Technology 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. http://dspace.mit.edu/handle/1721.1/7582 Engineering Systems Division. Data driven health system Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="70ef9ff1-eb59-497c-a402-d1c85c86b704"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Data driven health system</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2013</PublicationDate> <Authors> <Author> <DisplayName>Rosen Ceruolo, Melissa Beth</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering Systems Division.</Keyword> <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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>