March 22, 2022, 8:00 a.m. to 1:15 p.m. - 5th Annual Research Roundtable: Data Analytics in Healthcare
Agenda:
8:00am to 8:10am - Opening Remarks by Opher Baron, Distinguished Professor of Operations Management, Rotman School of Management
Session 1: Technology and Covid Modeling
8:10am to 8:35am “Waiting Experience in Open-Shop Service Networks: Improvements via Flow Analytics & Automation”
By Manlu Chen, Assistant Professor, School of Business, Renmin University of China
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8:35am to 9:00am “Exploring the Public Response to COVID’s Technology Challenges in the First Year of the Pandemic: Addressing the deployment of mRNA Vaccinations and Care delivery through Telemedicine”
By Abraham (Avi) Seidmann, Professor, Department of Information Systems, Questrom Business School, Boston University; Associate Research Director, Health Analytics and Digital Health, Digital Business Institute, Boston University. and Arriel Benis, Faculty of Industrial Engineering and Technology Management, Holon Institute of Technology; Faculty of Digital Technologies in Medicine, Holon Institute of Technology, Holon, Israel.
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9:00am to 9:25am “Developing Pre-Testing Diagnostic Tools for Pandemics Using Predictive Analytics: The Case of COVID-19”
By Prof. Ramy Elitzur, Ph.D, and Prof. Dmitry Krass, Ph.D, Rotman School of Management, University of Toronto
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9:25am to 9:50am “Capacitated SIR Model with an Application to COVID-19”
By Chaoyu Zhang, Ph.D. candidate, Rotman School of Management
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“Estimating the Impact of Asymptomatic Carriers on the spread of Infectious Diseases: An interaction-based Model”
By Yaniv Ravid, Ph.D. candidate, Rotman School of Management
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9:50am to 10:00am BREAK
Session 2: Hospital Operations Theory and Practice
10:00am to 10:25am “Interpretable Machine Learning: Application to Triage and Reassessment Guidelines for Ventilator Rationing”
By Julien Grand-Clément, Assistant Professor, Information System & Operations Management Department, HEC Paris
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10:25am to 10:50am “Optimizing Inter-Hospital Patient Transfer Decisions During a Pandemic: A Queueing Network Approach”
By Vahid Sarhangian, Assistant Professor, Department of Mechanical and Industrial Engineering, University of Toronto
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10:50am to 11:15am “Applied Artificial Intelligence at Mayo Clinic”
By Atul Dhanorker, Principal Health System Engineer at Mayo Clinic & Adam Resnick, Health System Engineer - Strategy Department, Mayo Clinic, Rochester, Minnesota
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11:15am to 11:40am “Healthcare Analytics for Managing and Predicting Waits in Practice”
By Dr. Saba Vahid, Group Manager, Data and Decision Sciences, Ontario Health Dr. Tahera Yesmin, Data Scientist, Data and Decision Sciences, Ontario Health; Dr. Shabnam Balamchi, Decision Scientist, Data and Decision Sciences, Ontario Health
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11:40am to 11:50am BREAK
Session 3: Access to Care - Managing Waits is not Trivial
11:50am to 12:15pm “Treatment Planning of Victims with Heterogeneous Time-sensitivities in Mass Casualty Incidents”
By Nan Liu, Associate Professor, Carroll School of Management, Boston College
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12:15pm to 12:40pm “Does Delay Stimulate Speedup? Evidence from Operating Rooms”
By Yiwen Jin, Ph.D. candidate, Sauder School of Business, University of British Columbia
Please contact Yiwen Jin at yiwen.jin@sauder.ubc.ca for more details.
12:40pm to 1:05pm “How can effective patient scheduling help reduce medical procedure backlogs”
By Hossein Abouee-Mehrizi, Associate Professor, Department of Management Sciences, University of Waterloo; Canada Research Chair in healthcare Analytics
1:05pm to 1:15pm Closing Remarks
Watch the recording here. By clicking the timecode in the description to watch your favourite talk.