Connecting Data to Value: An Operating Model for Healthcare Advanced Analytics.

Journal: Healthcare quarterly (Toronto, Ont.)
PMID: 32249735

Abstract

Artificial intelligence offers the promise to revolutionize the way healthcare is delivered in the future. To capitalize on the value of advanced analytics and artificial intelligence, organizations must focus on building organizational capabilities. This report shares an operating model for insight and change in healthcare comprising six key components: analytics technology and operations, data governance, change and automation, advanced analytics and insights, analytics literacy and strategy and relationship management. The adoption of the proposed model will build core capabilities that will enable organizations to connect data to decision making and realize value from its investment in advanced analytics.

Authors

  • 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.
  • 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.

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