| Date | 18 January 2022, Tuesday |
| Time | 9:00 am - 10:30 am (Hong Kong time, GMT +8) |
| Speaker |
Prof. Mahesh Nagarajan Senior Associate Dean, Research Professor, Operations and Logistics Division, Sauder School of Business, The University of British Columbia |
| Online Registration |
https://lingnan.au1.qualtrics.com/jfe/form/SV_9Y4wm0WvsqEmF5I |
Abstract
In this talk, we present a systematic data driven approach to decrease adverse events associated with overdose episodes. We take a three fold approach. First, we examine pathways that result in opioid use and devise protocols to decrease the number of new users. Second, we predict adverse occurrence of adverse episodes among current users and adopt timely interventions that will decrease the likelihood and severity of an event. Third, we focus on the care pathways for existing users and use simple operational techniques to increase the system’s capacity as well as improve outcomes.
Biography of speaker
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Prof. Mahesh Nagarajan Senior Associate Dean, Research Professor, Operations and Logistics Division, Sauder School of Business, The University of British Columbia |
Professor Nagarajan is the Senior Associate Dean for Research and the Alumni Chair Professor of Stochastic Optimization at the Sauder School of Business, University of British Columbia. His research interests include applications of optimization and mathematical modelling in the areas of cooperative game theory, stochastic inventory theory, healthcare operations, queueing and approximation algorithms, etc. He has served (serves) as an Associate Editor for Management Science, Operations Research, Mathematics of Operations Research, and a Senior Editor in Production and Operations Management, and a Department Editor for Manufacturing and Service Operations Management and Operations Research Letters. He has won the INFORMS optimization prize, the William Skinner Prize, and UBC Awards for research excellence in both the senior and junior categories.
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