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Unity Health Toronto: Scaling Artificial Intelligence

Dan Shin, Michael Page, Nicole R.D. Haggerty

Product #:W41634
Supplier:Ivey
Discipline:Information Systems, Operations Management
Setting:Canada, 2024
Details:Case (PDF) • 11 pages • 2025-01-20

Subjects:

Healthcare benefitsAI and machine learningTechnology and analyticsBusiness managementInformation systemsOperations and supply chain management

Industries:

Healthcare sector

Geography:

CanadaNorth America
Your Price:$9.71

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Unity Health Toronto (Unity Health), a pioneer in the implementation of artificial intelligence (AI) in Canadian health care, had leveraged advanced analytics and big data from electronic health records to improve patient care. However, much of the value from AI had been generated within Unity Health. In January 2024, the organization needed to determine the strategic alignment, governance, and investment required to scale its internal AI solutions for external health-care partners. Michael Page, the director of AI commercialization at Unity Health, was tasked with making a proposal to the in-house AI advisory committee on how the hospital network could 1) attain potential economic benefits through AI technologies to further expand the health system at Unity Health and 2) help other health-care organizations improve health-care quality and outcomes through AI.

Learning Objectives

This case situates students in the unique context of a Canadian health-care organization that has successfully leveraged AI innovation to enhance health-care practices but now faces challenges in translating these values to external health-care partners.

Upon completion of this case and the assignment questions, students will be able to do the following:
  • Examine the successes and challenges of Unity Health in implementing innovative technologies in the Canadian health system and the implications of these technologies for the organization’s corporate strategy and operational capabilities.
  • Discuss how Unity Health has developed big-data analytics capabilities and translated the capabilities into generating value.
  • Identify an organizational structure that supports the implementation of analytics in health practices.
  • Encourage an end-user-driven AI solutions culture in an organization.
  • Develop a dedicated in-house data-analytics group.
  • Identify the benefits and costs of scaling current AI operations and explore different ways to commercialize current analytics capabilities and manage associated risks.
  • Explore feasible business models in a health-care organization with regulations and limited resources.
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Case Study: Unity Health Toronto: Scaling Artificial Intelligence (English version) | Ivey Publishing