Affinitē Predictive Insights

Affinitē Predictive Insights (API)

Drive Better Health Outcomes with Real-Time, AI-Powered Predictive Intelligence

Improve population health, reduce risk, and optimize plan performance with advanced analytics that integrate, learn, and predict. 

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Identify and Engage Members 5x Faster

Affinitē Predictive Insights (API) develops and delivers advanced predictive models that empower payers to proactively identify and stratify risk among high-impact, at-risk populations – driving meaningful improvements in both quality of care and cost efficiency.

Our technology further enables intelligent automation of output delivery, seamlessly integrating insights into payer-designated systems to support timely staff engagement within existing workflows.

The result? Better health outcomes and significant cost savings with streamlined clinical alignment.

Vital Data Technology's Affinitē Aii suite has revolutionized our member engagement strategy with its evidence-based predictive models. We've seen remarkable improvement in proactive outreach, truly making a difference in our member's lives.
Medical Director
National Blues Plan

Bring Insights into Action with API

Affinitē Predictive Insights goes beyond traditional analytics by integrating powerful predictions directly into operational workflows. This innovative approach automates best-next actions, enabling health plans to achieve measurable outcomes while establishing a new benchmark in population health management.

With predictive data science seamlessly embedded into a health plan’s platform, actionable insights are accessible across the entire enterprise. These real-time analytics empower precise microtargeting, enhance medical management recommendations, and drive the success of high-value programs, ultimately supporting comprehensive population health strategies.

Data Aggregation

Data is securely aggregated from conventional, unconventional, and operational sources like SDOH, EMR, claims, etc.

Predictive Modeling

Vast datasets - including claims and SDoH - are analyzed to deliver precise insights into critical health risk factors.

Intelligent Automation

Intelligent automation driven by an advanced rules engine drives targeted programs across plan populations.

Seamless Integration

Insights are delivered directly into care management workflows, allowing teams to act swiftly and efficiently.

Tangible Results

A large, national health plan wanted to identify high-risk members sooner, streamline referrals with intelligently automated assignments, increase the volume of cases being managed, and improve member engagement. After one year of implementing Affinitē Predictive Analytics, they saw the following results:

1 %

of probable high-risk members identified were not previously know to the plan. 

1 x

increase in members touched in emerging high cost group.

1 x

increase in members successfully contacted in emerging high cost group.

1 x

increase in the number of cases referred to CM across groups.

1 %

decrease in the number of days to open a case 

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Health conditions supported by API Predictive Models

Affinitē Predictive Insights supports more efficient medical loss ratio performance by surfacing the members and conditions most likely to impact near-term spend. 

Our advanced models identify emerging risk across populations – enabling earlier outreach, optimized resource allocation, and data-driven interventions that lower medical costs while preserving quality. 

In an environment where payers are prioritizing short-term savings and operational efficiency, these predictive insights deliver immediate, measurable returns while setting the foundation for sustainable, long-term impact.

Sample Models:

Undiagnosed Depression

Predicts which members at risk of becoming diagnosed with depression/anxiety

Ortho with Obesity and High Risk

Predicts which members are likely to need invasive back surgery, hip and/or knee replacements

Pre-term birth at 20 weeks

Predicts which members will land in the top 10% of costs within the next year (with and without Rx)

Renal Disease with Hx of Obesity and Comorbidities

Predicts the likelihood of diabetes progression into end-stage renal diseas

Predicting Costs in Top 10%

Predicts which members will land in the top 10% of costs within the next year (with and without Rx)

Emerging High-Cost for CAD, Asthma, Cancer, Diabetes, etc.

Predicts the paid amount in the next year for all active members for seven major conditions and high-cost pharmacy

Related Resources

All Resources

From Reactive to Proactive: The Predictive Analytics Revolution in Population Health

Transform population health management by leveraging predictive analytics to shift from reactive to proactive care - optimizing outcomes, cost-efficiency, and member engagement.

read more
Physician using a tablet for healthcare insights

Leverage the Power of Analytics for a Successful Population Health Management Framework

Enhance your Population Health Management strategy with advanced analytics and technology to improve health outcomes, manage costs, and elevate patient experiences.

read more

Drive meaningful improvements in care quality with Affinitē Predictive Insights.

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Affinitē Predictive Insights FAQ

Affinitē Predictive Insights is a data science–as–a–service solution that helps health plans predict member health risks and future costs using real-time analytics and advanced predictive models. It enables proactive decision-making by turning complex healthcare data into actionable insights embedded directly into clinical workflows.

Affinitē Predictive Insights uses advanced predictive models and real-time data to identify emerging risk across member populations. By analyzing clinical, claims, and social determinants of health data, the platform surfaces high-risk members before they become high cost, enabling earlier outreach and intervention.

Affinitē Predictive Insights delivers predictions across a wide range of clinical and financial scenarios, including identifying members at risk of chronic disease progression, predicting high-cost members, and forecasting future utilization. These models help health plans anticipate member needs and prioritize interventions more effectively.

Affinitē Predictive Insights enables care teams to target the right members at the right time with personalized interventions. By integrating predictive insights directly into workflows, the platform improves outreach effectiveness, increases engagement rates, and ensures care managers focus on members with the greatest need.

Unlike traditional analytics tools that deliver static reports, Affinitē Predictive Insights embeds real-time predictions directly into clinical workflows and automates next-best actions. This allows health plans to move from insight to execution, enabling faster, more impactful interventions rather than retrospective analysis.

Affinitē Predictive Insights helps health plans reduce costs by identifying high-risk and high-cost members earlier, optimizing resource allocation, and enabling targeted interventions. By focusing efforts on members most likely to impact near-term spend, the platform improves medical loss ratio performance while maintaining quality outcomes.

Yes. Affinitē Predictive Insights integrates data from multiple sources—including clinical systems, claims, and social determinants of health—to create a comprehensive view of each member. This enables more accurate predictions and seamless integration into existing payer workflows.

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