Data-driven approach to health care : applications using claims data
Name
321051813-MIT.pdf
Description
Full printable version
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11.46 MB
Format
Adobe PDF
Checksum (MD5)
3adc4b8150bcaa398ed0ed87f4e39b6c
Author(s)
Bjarnadóttir, Margrét Vilborg
Advisor(s)
Dimitris J. Bertsimas.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data can be utilized in three important areas of health care and medicine and apply our methods to a real claims database containing information of over two million health plan members. First, we develop forecasting models for health care costs that outperform previous results. Secondly, through examples we demonstrate how large-scale databases and advanced clustering algorithms can lead to discovery of medical knowledge. Lastly, we build a mathematical framework for a real-time drug surveillance system, and demonstrate with real data that side effects can be discovered faster than with the current post-marketing surveillance system.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.
Includes bibliographical references (p. 123-130).
Subjects
Operations Research Center.
MIT Department
Massachusetts Institute of Technology. Operations Research Center
Sloan School of Management
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