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dc.contributor.advisorDoyle, Joseph
dc.contributor.authorJoglekar, Natasha
dc.date.accessioned2024-09-16T13:48:09Z
dc.date.available2024-09-16T13:48:09Z
dc.date.issued2024-05
dc.date.submitted2024-07-11T14:37:00.907Z
dc.identifier.urihttps://hdl.handle.net/1721.1/156771
dc.description.abstractWe seek to conduct an analysis of the Camden Coalition’s Health Information Exchange (HIE) data to gain deeper insights into the trajectories of Medicaid patients through the health system. Recognizing the complex challenges of social determinants of health, this study seeks to find patterns and opportunities within the Medicaid population’s healthcare journeys. Through time series analysis we try to understand the utilization trajectories of Medicaid patients over time. Using this insight combined with predictive modeling, we then begin to develop a methodology for identifying persistent high-cost healthcare utilization, and think about how having this information may change program implementation.
dc.publisherMassachusetts Institute of Technology
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleExtended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Computer Science and Molecular Biology


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