2026-09-18T18:18:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1567712024-09-17T03:22:54Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Doyle, Joseph
Joglekar, Natasha
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2024-09-16T13:48:09Z
2024-09-16T13:48:09Z
2024-05
2024-07-11T14:37:00.907Z
https://hdl.handle.net/1721.1/156771
We 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.
M.Eng.
Massachusetts Institute of Technology
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Copyright retained by author(s)
https://creativecommons.org/licenses/by-nc-nd/4.0/
Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification
Thesis
application/pdf
Master
Master of Engineering in Computer Science and Molecular Biology
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b0f39202-ebc4-4e00-8a95-1d7f12009ec8">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2024-05</PublicationDate>
<Authors>
<Author>
<DisplayName>Joglekar, Natasha</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License>
<Abstract>We 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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>