Medavie Blue CrossAI Use Case Determination for Mental Health Analytics

The Challenge

After launching a digital platform that uses facial scan technology to provide personalized health insights, Medavie Blue Cross wanted to understand how advanced analytics could improve the platform. The organization needed to evaluate existing data models, identify useful trends and patterns, and determine whether additional datasets could support actionable insights without increasing privacy risk.

The Solution

Health Futures led a feasibility study with support from clinical and data science expertise. The team assessed possible analytics directions, reviewed available data models, explored additional datasets, and worked closely with Medavie Blue Cross digital product leadership to evaluate technical feasibility. The study concluded that group-level mental health analytics using anonymous, aggregate data was the most feasible use case because it balanced insight generation with strong patient privacy protection.

Key Capabilities Delivered

• ▸AI and advanced analytics use case assessment for a digital health platform
• ▸Clinical and data science collaboration to evaluate feasibility and quality of output
• ▸Review of existing data models to identify practical analytics focus areas
• ▸Exploration of additional datasets to strengthen mental health analytics concepts
• ▸Privacy-conscious evaluation of individual-level versus group-level analytics
• ▸Executive-ready feasibility reporting and stakeholder pitch support