Mainstreaming Adviser
This project aims to create a digital web application to help support the delivery of genetic testing education and results for cancer patients.
Lead: Yvonne Bombard
The genetic update: Designing and evaluating a patient platform to deliver updated genomic results
This projects aims to create a patient palform for genomic sequencing to facilite recontact of updated results. This has the potential to reduce burden and stress on patients recontacting providers for results.
Lead: Yvonne Bombard
The Genetics Adviser
Genomic sequencing is increasingly being used in genetic medicine to diagnose and optimize care for patients with rare genetic disorders. This technology also has the ability to detect a patient’s risk for thousands of current and future conditions (incidental genetic […]
Lead: Yvonne Bombard
Developing a practical guide for conducting equitable genomics research with underrepresented and racialized populations
This study aims to identify barriers and solutions to conducting equitable genomics research through qualitative interviews with key stakeholders, including racialized community members and genomics researchers.
Lead: Yvonne Bombard
Evaluating the implementation of Pyxis IV Prep
The NYGH oncology pharmacy team implemented a new compounding workflow technology to verify measured doses of chemotherapy, leading to improved efficiencies and better assurances of accuracy and safety.
Lead: Patricia Trbovich
Research on the Grossman model on demand for health care
Research on the Grossman model on demand for health care. Investigate expansion of the Grossman model to take into account external shocks. Accepting Students Undertaking some theory work on health human capital
Lead: Mayvis Rebeira
COVID-19 procurement around the world
COVID-19 procurement around the world. Comparative investigation on COVID-19 procurement and supply methods across countries. Research on COVID-19 procurement in select countries.
Lead: Mayvis Rebeira
Longitudinal Cognitive Trajectory Modelling and Phenotyping with Multiple Features using Health Administrative Data
This project aims to develop and apply both model-based and algorithm-based statistical and machine learning methods to longitudinal trajectory clustering of multiple repeatedly measured features of cognitive decline.
Lead: Kuan Liu
Affiliates: Geoffrey M. Anderson
Evaluation of rapid virtual care scale-up during the Covid-19 Pandemic: (DECISION)
This research explores the impact of the shift to virtual care at the level operations and professional and institutional identity in four distinct clinical sites in UHN and SickKids.
Lead: Robert Paul
Affiliates: Maria Athina (Tina) Martimianakis
Investigating regional trends in electronic cigarette consumption in Canada and identifying geographical characteristics associated with high consumption
This study investigates the prevalence of e-cigarette consumption and neighbourhood/community characteristics across Canada.
Lead: Kuan Liu
Affiliates: Aya Mitani
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Communications
Marielle Boutin
Email Address: ihpme.communications@utoronto.ca