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Research Grants

Announcing research grants to support Rotman’s thought leadership in healthcare and the life sciences.

Since April 2019, the Centre has awarded several grants to Rotman faculty for the following research initiatives, all focused on increasing the impact of Rotman’s thought leadership.

Any research question intended for publication relevant to management and business challenges across the healthcare and life sciences sector was eligible, and the Centre encouraged proposals that would examine one or more aspects of the sector, across the value chain. The setting could be Ontario, Canada or global.


Project title


Philipp Afeche

Evaluating and Refining the priority Policies for Liver Transplant Allocation: Balancing the Outcomes of Patients with and without Hepatocellular Carcinoma

Professor Afeche and his colleagues are proposing a study to examine the current system of allocating transplant organs to patients with and without cancer.

Opher Baron

Systematic view of Emergency Departments: Application to North York General Hospital

The goal of the research is to analyze and improve patient flow within the ED when patients require consulting service from outside the ED.


Optimal assignment of patients to MRI machines in regional hospitals to minimize the time needed to eliminate the backlog created by the constraints of COVID-19 pandemic

This study explores the optimal assignment of patients to MRI machines in regional hospitals that meets requirements induced by patients' medical indications and minimizes the total time it will take to eliminate the MRI backlog in the province.
  Data Driven Simulation for Healthcare Applications

The study will address: Capacity estimation, Utilization analysis, Service discipline, Arrival prediction and Integration of these building blocks to a single simulation model in support of predictive, comparative, and prescriptive analytics.

Olga Bountali Strategic Double-Booking and Ways to Disincentivize it

The study works towards proposing a modeling tool to quantify the impact of double-booking on both hospital operation and patient outcomes via metrics associated with wait times, system utilization, and social welfare.

Kevin Bryan

Using patent citations to assess science-innovation linkages and the value of medical research

This study has one specific aim: administer a survey of citing inventors and use machine learning techniques to identify characteristics of informative citations. There is currently limited understanding of what either front-page or in-text patent citations to science represent, and their relative value as measures of science-innovation linkages.


Using patent citations to assess science-innovation linkages and the value of medical research


This study had one specific aim: administer a survey of citing inventors and use machine learning techniques to see what types of research are influential and why. 


Marlys Christianson

Maintaining mutual intelligibility during handoffs: How physicians use lists and stories to share information about patients

The proposed study builds on their previous research to investigate how physicians use the content of their handoffs to ensure mutual intelligibility. How do they use lists and stories? Given the serious consequences of communication failures during handoffs, findings that give insight into how to perform handoffs in a more mutually intelligible manner may also lead to improvements in patient safety.

Laura Derksen

Do scheduled appointments save lives? Procrastination as a barrier to HIV testing

This study will investigate procrastination as a barrier to HIV testing. Laura proposes scheduled appointments to overcome procrastination for this patient population.

See: Appointments: Overcoming Behavioural Barriers to Healthcare

See: Health Knowledge and Non-Pharmaceutical Interventions During the COVID-19 Pandemic in Africa

Alex Edwards The impact of pay-for-performance compensation in the public healthcare sector in Ontario 

The study will examine the link between CEO compensation and hospital performance and will provide unique insight into the effect of pay-performance sensitivity on performance in the presence of a compensation freeze.

Avi Goldfarb

Machine learning in healthcare: Invention of a method of invention, general purpose technology, or both?

How will machine learning affect healthcare? In particular, is the impact likely to be driven primarily through it being the invention of a method of invention, a general purpose technology, or both?

Nicola Lacetera

Social Support of health-related policies: Experimental and machine learning-based studies

The primary objective is to enhance our understanding of the social support or ethical concerns of a population and the impact of the support (or lack of) on a jurisdiction's policies for controversial markets such as organs and bodily fluids, and the evolution of this support over time.

Gary Latham

The Relationship Between Reciprocal Trust and Influence Tactics with the Adoption of Healthcare Policy

This study will apply an employee-centred, organizational behaviour lens to investigate the process of healthcare policy adoption in a hospital setting.

Geoffrey Leonardelli Healthcare-related behavioural research This proposal investigates conditions of robotic reliance as an enabling factor that can increase patients’ preferences for robotic surgery. It also investigates the practitioner perspective, where they see under what conditions medical care workers will rely on robotic assistance for surgical procedures.

Ryann Manning When  Health Workers Get Blamed: Navigating Stigma and Public Scrutiny During Ongoing Health Crises

This project will study how health workers navigate the stigmatization that emerges from their association with healthcare organizations and systems that are widely perceived as failing.
Zachary Zhong Primary Health Care Reform This study uses novel variations in the recent policy shocks to identify the causal effects of prices and quality of primary health care on patient decisions, costs, and health outcomes using administrative data.

Gonzalo Romero Cherry-Picking and Spillover on Service-Level: Evidence from a Radiology Workflow Platform The primary research questions of this proposal are twofold. First, do radiologists cherry-pick better paying studies? Second, does this cherry-picking impact the operations of the firm and the service level it offers to its client hospitals?

Dilip Soman Funding support for a Post-Doctoral Fellow position to explore support work for a program of research on applying behavioural insights in healthcare 

The research program is designed to address the question of how behavioural insights can be best embedded in organizations to create value for stakeholders. The research will be done in three broad domains – financial wellbeing, health and wellbeing, and environment and sustainability.