Machine Learning in Healthcare
Implemented Machine Learning Tools to Inform Decision-Making for Patient Care in Hospital Settings: A Scoping Review
Project Status:Complete
Knowledge User(s)
Unity Health Toronto
Project Trainee(s)
Orna Fennelly
Funding Source(s)
- Canadian Institutes of Health Research (CIHR) through the Strategy for Patient-Oriented Research (SPOR) Evidence Alliance
Project Objectives
To identify machine learning tools in hospital settings and how they were implemented to inform decision-making for patient care.
Research Approach
Scoping Review
Project Lead(s)
Andrea Tricco
Andrea C Tricco, PhD, MSc
Dr. Andrea Tricco holds a MSc in Epidemiology and PhD in Population Health. She is a Scientist and the Executive Director of the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto. She is a Professor at the University of Toronto in the Dalla Lana School of Public Health & Institute of Health Policy, Management, and Evaluation. She is also an Adjunct and Associate Graduate Faculty with Faculty of Health Sciences at Ontario Tech University. She is Co-Editor in Chief of the Journal of Clinical Epidemiology.
Dr. Tricco’s research interests are related to responding to decision-makers (including policy-makers, healthcare providers, and patient partners) through knowledge synthesis. Her research focuses on advancing the science of knowledge synthesis and she is leading research projects related to rapid reviews, network meta-analysis, and scoping reviews. She currently holds a Tier 1 Canada Research Chair in Knowledge Synthesis for Knowledge Users and has been recognized as one of the most highly cited researchers in the world.
Andrea Tricco
St. Michael's Hospital, Unity Health Toronto
Andrea C Tricco, PhD, MSc @ATricco @andreatricco.bsky.social Dr. Andrea Tricco...