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Retsef Levi and David Simchi-Levi. Sanderson, Thomas Daniel Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Engineering Systems Division Sloan School of Management 2014-10-08T15:29:38Z 2014-10-08T15:29:38Z 2014 2014 http://hdl.handle.net/1721.1/90795 891581424 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). 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. by Thomas Daniel Sanderson. M.B.A. S.M. 112 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Engineering Systems Division. Leaders for Global Operations Program. Pooling and segmentation to improve primary care prescription management Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="d2e723bb-2d26-452a-aaec-e87c4b561cea"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Pooling and segmentation to improve primary care prescription management</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <Authors> <Author> <DisplayName>Sanderson, Thomas Daniel</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Engineering Systems Division.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <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 &amp; 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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>