Connecting Data to Insight: A Pan-Canadian Study on AI in Healthcare.

Journal: Healthcare quarterly (Toronto, Ont.)
Published Date: Apr 1, 2020

Abstract

Across Canada, healthcare leaders are exploring the potential of artificial intelligence and advanced analytics to transform the healthcare system. This report shares a summary of the current state of healthcare analytics across major hospitals and public healthcare agencies in Canada. We present information on the current level of investment, data governance maturity, analytics talent and tools and models being leveraged across the nation. The findings point to an opportunity for enhanced collaboration in advanced analytics and the adoption of nascent artificial intelligence technologies in healthcare. The recommendations will help drive adoption in Canada, ultimately improving the patient experience and promoting better health outcomes for Canadians.

Authors

  • Zaki Hakim
    Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
  • Terra Ierasts
    A senior manager at the University Health Network, with a multidisciplinary background in quality, mathematics, relationship management, healthcare system improvement and patient safety.
  • Irfan Hakim
    An emerging health informatics professional and the Chair for the Health and Wellness Advisory Board at the University of Toronto.
  • Andre D'Penha
    A data science program manager at the University Health Network and has won numerous national and international awards for change management, process improvement and program design and implementation.
  • Kevin P D Smith
    The president and chief executive officer of University Health Network and a professor at the Institute for Medical Sciences, Department of Medicine, Institute of Health Policy, Management and Evaluation, Rotman School of Management and at the De Groote School of Medicine, Department of Medicine, McMaster University.
  • Michael C W Caesar
    The executive director of the Data & Implementation Science Team at University Health Network (UHN), an adjunct faculty member with the Institute of Health Policy, Management and Evaluation (IHPME) at the University of Toronto, co-chair of the UHN Enterprise Data Governance Committee and a member of the Advisory Board for the Applications of AI in Health Certificate (IHPME) with the University of Toronto. Michael can be reached by e-mail at Michael.Caesar@uhn.ca.

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