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dc.contributor.advisorAnjali Sastry.en_US
dc.contributor.authorAchoki, Tom Nyandegaen_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2018-09-17T15:50:16Z
dc.date.available2018-09-17T15:50:16Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/117926
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 64-69).en_US
dc.description.abstractThe World Health Organization recognizes health data and access to medicines as key ingredients for a well-functioning health system, alongside governance, human resources, infrastructure and financing. Considering the interaction and interdependencies across the various components of the health system, decision makers would need to focus on data trends from different sources within the healthcare system in order to draw instructive lessons to improve health. This is particularly true in the biopharmaceutical industry where safety, efficacy and effectiveness of medicines is a paramount consideration. Collaboration among different stakeholders to improve data access is vital in generating the much needed evidence to drive innovation across the healthcare system. Notably, the biopharmaceutical industry could leverage improved access to data to accelerate discovery of novel medicines, maximize the potential for clinical and commercial success of products and ensure improved access to effective. The shift towards value based care has seen increased demand for data, which has led to the emergence of different models for data access, ranging from data vendors to federations of multiple stakeholders, working jointly to improve the evidence base for decision making. In various settings, federated models, have particularly demonstrated useful attributes that are essential in promoting broader data access within the healthcare ecosystem. However, development of data access models should not be seen as a destination but as a process that is to be continually improved and adapted to meet the needs and demands of a rapidly changing healthcare landscape. Overall, this process should be intimately anchored on the primary objective of improving patient health.en_US
dc.description.statementofresponsibilityby Tom Achoki.en_US
dc.format.extent76 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.titleData access, a driver of innovation in the biophanrmaceutical sector: a focus on rheumatoid arthritisen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc1051223500en_US


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