Pooling and segmentation to improve primary care prescription management
Name
891581424-MIT.pdf
Description
Full printable version
Size
8.79 MB
Format
Adobe PDF
Checksum (MD5)
3d2e8e5e924ad6febdb46d4ad62df268
Author(s)
Sanderson, Thomas Daniel
Advisor(s)
Retsef Levi and David Simchi-Levi.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
Analyses of schedule history and medical records for large primary care medical practice are combined with time studies to develop a quantitative network flow model of the prescription management process, including metrics for the yield of prescription requests, excess requests for chronic & stable medications, and prescriptions that overflow from scheduled appointments. The model is used to estimate the impact of segmenting and pooling the prescription workflows into a central prescription management group, resulting in recommendations for a new prescription management system. Interventions on pharmacy/practice coordination for faxes, modification of the voicemail system, and improved workflow are piloted to validate model estimates. The recommended changes are expected to improve prescription response time and accuracy, reduce resource utilization, improve patient medicine compliance and, ultimately, patient health outcomes.
Description
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
60
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 107-112).
Subjects
Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
MIT Department
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Engineering Systems Division
Sloan School of Management
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