Analytics + Execution = Better Health Outcomes for Everyone
Unlock critical member insights with a full suite of AI-powered tools that seamlessly integrate into health plan clinical workflows to predict outcomes and automate actions in real time.

Make all of your clinical data accessible and actionable to any stakeholder at any time?

Predict future member health risks, then stratify those members into actionable cohorts for immediate action across multiple workflows all at once?

Populate case management work queues with the highest-priority members each day for the best possible chance to engage?

Embed data science directly into workflows, providing clinicians with immediate insights?

Unlock efficiencies and savings with automated, actionable intelligence?
Affinitē: The Intelligent Health Platform for Payers
Break free from the limitations of conventional clinical software with Affinitē
Affinitē is a powerful suite of applications for payers, designed to stratify, segment, and pinpoint actionable interventions, ensuring the timely and precise delivery of care.

Affinitē Lets Health Plans:
Harness dynamic data from traditional, operational, and SDOH sources to unlock comprehensive insights.
Enable fluid data movement across the organization and to all internal and external stakeholders.
Unite all departments and data on a single, cloud-native platform for systemwide visibility and scalability.
Accelerate data movement from ingestion to output, ensuring timely insights that drive informed care decisions.
Empower care teams and prevent adverse health events with AI-driven predictive analytics.
Achieve long-term business innovation with a modern, dynamic, fully cloud-native platform.
Affinitē represents the industry's only cloud-native, end-to-end platform that seamlessly integrates advanced analytics with clinical workflow automation for best-in-class solutions for plans, providers, and members.
"Vital Data Technology has provided robust predictive models for several of our programs that have allowed us to reach and engage with many more of our members that we would not have been able to touch in the past due to the lack of an evidence-based and comprehensive data science model."
Medical Director National Health Plan