Alison Paprica
PhD, PMP
Dr Paprica is Executive Advisor and Affiliate Scientist at ICES and a member of the Executive Committee for Health Data Research Network Canada.
Previous roles include:
- inaugural Vice President, Health Strategy and Partnerships at the Vector Institute for Artificial Intelligence
- Director, Strategic Partnerships at ICES
- Director of the Planning, Research & Analysis Branch at the Ontario Ministry of Health (responsible for $60M annual applied health research investment)
- management positions in international pharmaceutical R&D.
Alison holds an Honours Combined BSc in biochemistry and chemistry (McMaster, summa cum laude), a PhD in organic chemistry (Western University, NSERC Scholar) and is a member of the Ontario Genomics Board of Directors and the International Advisory Board for Health Data Research UK.
Research Synopsis
For several decades, my career has focused on identifying and capitalizing on shared interests between academic institutions, government departments and agencies, and commercial organizations.
Over time, my research focus has shifted from my trained discipline of biophysical chemistry to health sciences, population health and social sciences.
Most recently, my focus has been on infrastructure and governance for data-intensive health research and on patient and public engagement in research.
I am also interested in understanding how and why research projects and large-scale academic initiatives succeed.
My main research interests are:
- The engagement of patients and members of the public in all stages of research
- Infrastructure for data-intensive health research, including governance of health AI and machine learning
- Knowledge translation and exchange to strengthen research, policy development and planning
- Structures, practices, and tools to support the leadership and management of academic research
Recent Publications
Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiatives, PA Paprica, E Sutherland, A Smith, M Brudno, RG Cartagena, M Crichlow, International Journal of Population Data Science 5 (1), 2020
Prospective data linkage to facilitate COVID-19 trials–A call to action, PA Paprica, M Sydes, K McGrail, A Morris, MJ Schull, R Walker, International Journal of Population Data Science 5 (2), 2020
A concept analysis and meta-narrative review established a comprehensive theoretical definition of replication research to improve its use, B Vachon, JA Curran, S Karunananthan, J Brehaut, ID Graham, D Moher, ..., Journal of Clinical Epidemiology, 2020
Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research, MD McCradden, T Sarker, PA Paprica, medRxiv, 2020
Building a research partnership between computer scientists and health service researchers for access and analysis of population-level health datasets: what are we learning?, M Schull, M Brudno, M Ghassemi, G Gibson, A Goldenbrg, A Paprica, ..., International Journal of Population Data Science 4 (3), 2019
Implementing AI in healthcare, E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ...
Notches on the dial: a call to action to develop plain language communication with the public about users and uses of health data, PA Paprica, K McGrail, MJ Schull, International Journal of Population Data Science 4 (1), 2019
Accessible Data, Health AI and the Human Right to Benefit from Science and its Applications, M Ghassemi, A Goldenberg, QD Morris, F Rudzicz, B Wang, R Zemel, ..., Health Law in Canada 40 (1), 37-42, 2019
Conference Report: Health Data Protection Law in the Era of Big Data: Risks and Opportunities for Modernization, R Cartegana, PA Paprica, E Sutherland, Health Law in Canada 40 (1), 5, 2019
Consensus statement on public involvement and engagement with data-intensive health research, M Aitken, MP Tully, C Porteous, S Denegri, S Cunningham-Burley, ..., International Journal of Population Data Science 4 (1), 2019
Towards international standards for evaluating machine learning, F Rudzicz, PA Paprica, M Janczarski, SafeAI@ AAAI, 2019
Social licence and the general public’s attitudes toward research based on linked administrative health data: a qualitative study, PA Paprica, MN de Melo, MJ Schull, CMAJ open 7 (1), E40, 2019
Developing a framework for the ethical design and conduct of pragmatic trials in healthcare: a mixed methods research protocol, M Taljaard, C Weijer, JM Grimshaw, A Ali, JC Brehaut, MK Campbell, ..., Trials 19 (1), 525, 2018
Pan-Canadian Real-World Health Data Network: building a national data platform, M Smith, K McGrail, M Schull, A Katz, T McDonald, PA Paprica, JC Victor, ..., International Journal of Population Data Science 3 (4), 2018
Integrating population-wide laboratory testing data with physician audit-and-feedback reports to improve glycemic and cholesterol control among Ontarians with diabetes, M Campitelli, M Paterson, M Azimaee, A Greenberg, PA Paprica, M Schull, ..., International Journal of Population Data Science 3 (4), 2018