Quality of care and drug surveillance : a data-driven perspective
Name
318358084-MIT.pdf
Description
Full printable version
Size
543.4 KB
Format
Adobe PDF
Checksum (MD5)
4a66201ce24475fa76567a80b88c2c89
Author(s)
Czerwinski, David (David E.)
Advisor(s)
Dimitris J. Bertsimas.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, we describe the use of medical insurance claims data in three important areas of medicine. First, we develop expert- trained statistical models of quality of care based on variables derived from insurance claims. Such models can be used to identify patients who are receiving poor care so that interventions can be arranged to improve their care. Second, we develop an algorithm that utilizes claims data to perform post-marketing surveillance of drugs to detect previously unknown side effects. The algorithm performed strongly in several realistic simulation tests, detecting side effects a large fraction of the time while controlling the false detection rate. Lastly, we use insurance claims data to improve our understanding of the costs of care for patients who suffer from depression and a chronic disease.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 119-128).
Subjects
Physics.
MIT Department
Massachusetts Institute of Technology. Department of Physics
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