WRHN-06: Mapping AI Activity and Solution Landscape in a Health System

Brief description of the organization

Waterloo Regional Health Network (WRHN) is a newly integrated health system serving the Waterloo Region. WRHN is focused on advancing high-quality, accessible, and sustainable care through system integration, innovation, and the adoption of emerging technologies including artificial intelligence.


Problem area

AI-related initiatives are emerging across WRHN without a centralized view of what is currently in motion. There is limited visibility into internal initiatives, vendor engagements, and areas of duplication or opportunity.

Students will help create an initial structured view of AI-related activity and broader solution landscape to support governance and strategic planning.


Main objectives

  • Develop a framework for capturing AI-related initiatives
  • Map current AI activity across the organization
  • Identify patterns, clusters, and gaps
  • Analyze external AI solution landscape relevant to health systems
  • Support development of a sustainable portfolio view

Scope of work

  • Conduct environmental scan of AI in healthcare
  • Develop a lightweight inventory framework
  • Work with a team to collect and structure internal data
  • Categorize initiatives by type, stage, and application area
  • Identify overlaps and emerging themes
  • Develop visual portfolio and landscape maps

Deliverables

  • Report
  • Presentation
  • Resources
  • Survey tools

Team meeting frequency

Weekly.


Skills and training required

  • Research and synthesis
  • Data organization and visualization
  • Systems thinking
  • Communication skills

Resources required 

  • Access to internal initiative descriptions (as available)
  • Spreadsheet/database tools
  • Visualization tools (Excel, Tableau optional)

NDA or a commercialization agreement for this project?

Yes