Summary: Please join us for a day of research presentations on the applications of analytics to healthcare. We have a lineup of internationally renowned experts in different scientific disciplines who will present data driven work in the context of the healthcare industry. Each presentation will explore a current challenge in the field and how analytics can offer insights to move us towards effective solutions. The presentations will be calibrated for a broad audience – all students, alumni, and practitioners are welcome to attend.
Chair of Scientific Program: Opher Baron, Distinguished Professor of Operations Management, Rotman School of Management
Roundtable Co-Host: Rosemary Hannam, Sandra Rotman Centre for Health Sector Strategy
Roundtable Co-host: TD Management Data and Analytics Lab
Agenda (subject to change):
|Registration & Continental Breakfast
||Opening Remarks by Opher Baron
||Session I: Managing Emergency Departments
||"Consecutive Surgeries with Complications: The Impact of Scheduling Decisions"
By Adam Diamant, Schulich School of Business, York University
||"When Doctors are Most Needed in the Emergency Room: Risk-Adaptive Physician Shift Scheduling"
By Yichuan (Daniel) Ding, McGill University
||"Factors Affecting Non-urgent Patient Visits to Emergency Departments: A Discrete Choice Experiment"
By Shrutivandana Sharma, Singapore University of Technology
||Session II and Keynote: Arrivals and Transfers in Hospital Management
||"Can customer arrival rates be modelled by sine waves?"
By Ningyuan Chen, University of Toronto
||Keynote: "An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score"
By Carri W. Chan, Columbia University
||Lunch and Networking
||Session III: Analytics in Treating Cancer and TB
||"Sparse Flexible Design for Radiation Therapy: A Machine Learning Approach"
By Timothy Chan, University of Toronto
||"Exploring Regional Variation and Survival in Colon Cancer Pathway Concordance"
By Luciano Ieraci and Maria Eberg, Ontario Health (Cancer Care Ontario)
||"Personalized Treatment Adherence Support Strategies for Tuberculosis Patients in Kenya"
By Jonas Oddur Jonasson, MIT
||Session IV: From Data to Information in Healthcare
||"Hypertension Management: A Value of Information Perspective"
By Vedat Verter, Michigan State University
||"Big Data - Local Impact - Healthy Lives"
By Laura Derksen, University of Toronto
||"Artificial Intelligence in Healthcare? Evidence from online job postings"
By Avi Goldfarb, University of Toronto
Opher Baron is a Distinguished Professor of Operations Management (since 2003) and the area coordinator for Operations Management and Statistics at the Rotman School of Management, the University of Toronto. He was a visiting associate Professor at the Industrial engineering and Management faculty of Technion (2009/10) and a visiting Professor at the School of Information Management and Engineering, Shanghai University of Finance and Economics (2016/17). He has a PhD in Operations Management from the Sloan school at the Massachusetts Institute of Technology along with an MBA and BSc in Industrial Engineering and Management from the Technion. On the teaching front, Opher is especially proud of the "Analytics for decision-making" MBA elective course he introduced and teach at Rotman. His research interest include queueing, applied probability, business analytics, service operations (such as healthcare), inventory planning, and revenue management. Opher's published at leading journals such as Operations Research, and Manufacturing & Service Operations Management, and he has won several research and teaching awards and grants, including the 1000 Talent Plan Scholar of the Shanghai Municipal Government, 2017. Opher is active in the operations research and operations management community. He gave numerous invited lectures and seminars, has chaired several conferences, clusters, and sessions and is currently serving on the editorial boards of the several journals including the Manufacturing & Service Operations Management and Service Science.
Carri Chan is an Associate Professor of Business in the Decision, Risk and Operations Division at Columbia Business School. Her research is in the area of healthcare operations management. Her primary focus is in data-driven modeling of complex stochastic systems, efficient algorithmic design for queuing systems, dynamic control of stochastic processing systems, and econometric analysis of healthcare systems. Her research combines empirical and stochastic modeling to develop evidence-based approaches to improve patient flow through hospitals. She has worked with clinicians and administrators in numerous hospital systems including Northern California Kaiser Permanente, New York Presbyterian, and Montefiore Medical Center. She is the recipient of a 2014 National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award and the 2016 Production and Operations Management Society (POMS) Wickham Skinner Early Career Award. She received her BS in Electrical Engineering from MIT and MS and PhD in Electrical Engineering from Stanford University.
Timothy Chan is the Canada Research Chair in Novel Optimization and Analytics in Health, a Professor in the department of Mechanical and Industrial Engineering, the Director of the Centre for Healthcare Engineering, and the Director of the Centre for Analytics and AI Engineering at the University of Toronto. His primary research interests are in optimization under uncertainty and the application of optimization methods to problems in healthcare, medicine, global engineering, sustainability, and sports. He received his B.Sc. in Applied Mathematics from the University of British Columbia, and his Ph.D. in Operations Research from the Massachusetts Institute of Technology. Before coming to Toronto, he was an Associate in the Chicago office of McKinsey and Company, a global management consulting firm. During that time, he advised leading companies in the fields of medical device technology, travel and hospitality, telecommunications, and energy on issues of strategy, organization, technology and operations.
Ningyuan Chen an assistant professor of the Department of Management at the University of Toronto, Mississauga. He is also cross-appointed at the Rotman School of Management, University of Toronto. He obtained his PhD in Operations Research from Columbia University. His research provides data-driven solutions to improve the qualities of decision making in retailing and healthcare.
Laura Derksen is an Assistant Professor of Strategic Management with the Department of Management at the University of Toronto-Mississauga. She is an applied microeconomist with research interests in health and development. Laura's research investigates the link between the diffusion of information, social interactions, and health seeking behavior. She tests theoretical models of behaviour by conducting randomized field experiments, and analyzing both qualitative and quantitative data from administrative health records and individual interviews.
Adam Diamant is an Assistant Professor of Operations Management and Information Systems at the Schulich School of Business (York University). His research uses a variety of mathematical (optimization, decomposition methods, and stochastic modeling) and empirical (econometrics, machine learning) methodologies, to model complex, large-scale systems in health care to obtain insights for better operational decision making.
Yichuan Ding graduated obtained his Ph.D. degree in the Department of Management Science and Engineering, Stanford University. He is currently an assistant professor in the Desautels Faculty of Management, McGill University. His research interests include optimization, queueing, and data analytics, as well as their applications in public sectors, including cadaver kidney exchange and allocation policies, affordable housing management, emergency department operations, outpatient and surgical scheduling, etc. He has published on top-tier academic journals including operations research, mathematics of operations research, manufacturing and service operations management.
Maria Eberg is a Data Scientist at Cancer Care Ontario, a division of Ontario Health. Maria has 5+ years of experience in healthcare research on a diverse range of disease and therapeutic areas, including cardiology, oncology, nephrology, and mental health. Her areas of expertise include large database and medical claims analyses, pharmacoepidemiology and real-world effectiveness studies, causal inference, prediction modeling, and exploratory data mining algorithms. Maria has a deep passion for delivering valuable insights with data-driven methods and assisting the decision-making process for Ontario healthcare system.
Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. His research on the economics of technology has been discussed in Congressional testimony, European Commission documents, the Economist, the New York Times, and elsewhere. Along with Ajay Agrawal and Joshua Gans, Avi is the author of the international bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. Avi received his Ph.D. in economics from Northwestern University.
Luciano Ieraci has had a diverse experience in addressing a range of business and research questions in the healthcare system. He has worked at several agencies with varying mandates in the healthcare sector, such as the College of Family Physicians of Canada (CFPC), Canadian Institute for Health Information (CIHI), IC/ES (previously the Institute for Clinical Evaluative Sciences), Toronto Health Economics and Technology Assessment Collaborative (THETA); and Health Quality Ontario and Cancer Care Ontario, both divisions of Ontario Health (OH). Luciano is currently designing analytical solutions to inform program decision-making at OH involving predictive analytics, microsimulation, budget impact analyses, and bioinformatics-like approaches to pathway concordance. He is also working on his PhD in Health Economics at the University of Toronto in the area of health system decision-making under budgetary constraints.
Jónas Oddur Jónasson is the Class of 1943 Career Development Professor and an Assistant Professor of Operations Management at the MIT Sloan School of Management. His primary research focus is on understanding and improving the operational effectiveness and efficiency of decentralized healthcare delivery systems. In particular, Jónas is interested in developing data-driven models describing the impact of operational implementation of healthcare delivery programs on operational and public health outcomes. Prior to joining MIT, Jónas received his PhD in Management Science and Operations from London Business School, an MPhil from the University of Cambridge, an MSc from the London School of Economics and Political Science, and his BSc from the University of Iceland.
Shrutivandana Sharma is an Assistant Professor in the Engineering Systems & Design Pillar at the Singapore University of Technology and Design (SUTD), and a visiting academician at the Changi General Hospital, Singapore. Prior to joining SUTD, she was a postdoctoral research fellow at the Rotman School of Management, University of Toronto. She also worked as a Scientist at Yahoo! Labs, India for two years. She received her B.Tech. in Electrical Engineering from the Indian Institute of Technology, Kanpur in 2004, and her Ph.D. in Electrical Engineering: Systems from the University of Michigan, Ann Arbor in 2009. Her research interests are in stochastic control, decentralized decision making, and incentive provision problems arising in healthcare services, logistics and supply chain management.
Vedat Verter joined Broad College of Business as the John McConnell Endowed Chair of Business Administration in July 2019. He also serves as Chairperson of the Supply Chain Management Department. He brings 24 years of experience at Desautels Faculty of Management, McGill University, where he was a James McGill Professor since 2013. Professor Verter specializes on the application of operations research for tackling challenges in the public sector. His areas of research are service chain design, hazardous materials logistics, sustainable operations and healthcare operations management. His work in these four areas culminated into 70+ research articles in refereed journals and is well recognized through invited presentations around the globe. In the area of healthcare, he focuses on preventive, primary, emergency, acute and chronic care processes, as well as their interaction. He was Founding Director of the NSERC CREATE Program in Healthcare Operations and Information Management, a seven-University PhD/PDF training program across Canada. Professor Verter is Editor-in-Chief of Socio-Economic Planning Sciences, an international journal focusing on public sector decision making. He is also among the Senior Editors of Production and Operations Management.
About the Sandra Rotman Centre for Health Sector Strategy
Driving Excellence in Healthcare Management
The Sandra Rotman Centre for Health Sector Strategy is a research, education and policy centre aimed at generating insights for governments, organizations and other key stakeholders facing complex healthcare challenges.
About the TD Management Data and Analytics Lab
TD Management Data and Analytics Lab promotes cutting-edge analytic tools in business through teaching and research, and is a central source of knowledge and expertise in data science, AI, and machine learning applications.
Questions: Rosemary Hannam, firstname.lastname@example.org