The Challenge
Employers and health plans needed a more effective way to engage members in preventive health programs. Health assessments, daily habits, wearable activity, wellness campaigns, and incentives were often fragmented across separate experiences. This fragmentation made it difficult for members to know what actions to take and for administrators to manage, measure, and improve engagement at scale.
The Solution
To solve this, a unified digital engagement platform was developed to seamlessly connect the member experience with the administrative operating model. The platform translates health data into daily action, sustains participation through wellness challenges, synchronizes connected devices, and gives sponsors reliable operational control.
Key Platform Capabilities
- Personalized Health Tracking: Features a comprehensive Health Tracker for 13 core indicators (including fitness, diet, and sleep), translating complex data into simple, color-coded 'Green Days' to reinforce positive behaviors.
- Dynamic Challenges & Rewards: Empowers members to join time-bound individual or team challenges, directly connecting qualifying activities and completion status to financial incentives, gift cards, or marketplace rewards.
- Centralized Operational Control: The administrative experience enables authorized teams to easily configure program rules, manage cohorts, create challenge templates, and monitor data quality without manual workarounds.
- Connected Health Integrations: Built on an AWS-hosted architecture with robust REST APIs, seamlessly ingesting data from external services like Fitbit, Apple Health, Google Fit, and the RealAge assessment.
Executive Value & Future Vision
The solution transformed fragmented interactions into a connected, highly motivated engagement cycle. For employers and health plans, it created a reusable, scalable foundation for preventive health engagement. Furthermore, this unified data architecture sets the stage for intelligent engagement—enabling predictive 'next-best actions,' early identification of drop-off risks, and automated, conversational navigation.