Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification
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 opp...
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| Other Authors: | |
| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156771 |
| _version_ | 1826208884162822144 |
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| author | Joglekar, Natasha |
| author2 | Doyle, Joseph |
| author_facet | Doyle, Joseph Joglekar, Natasha |
| author_sort | Joglekar, Natasha |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:14:09Z |
| format | Thesis |
| id | mit-1721.1/156771 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:14:09Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1567712024-09-17T03:22:54Z Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification Joglekar, Natasha Doyle, Joseph Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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. 2024-09-16T13:48:09Z 2024-09-16T13:48:09Z 2024-05 2024-07-11T14:37:00.907Z Thesis https://hdl.handle.net/1721.1/156771 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/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Joglekar, Natasha Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title | Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title_full | Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title_fullStr | Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title_full_unstemmed | Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title_short | Extended Evaluation: Unraveling Medicaid Patient Trajectories and Improving Intervention Candidate Identification |
| title_sort | extended evaluation unraveling medicaid patient trajectories and improving intervention candidate identification |
| url | https://hdl.handle.net/1721.1/156771 |
| work_keys_str_mv | AT joglekarnatasha extendedevaluationunravelingmedicaidpatienttrajectoriesandimprovinginterventioncandidateidentification |