Transform Insurance with Body Composition Data

Use Cases

Click through the use cases below to explore how Prism supports this solution.

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Risk Stratification & Underwriting Support

Move beyond BMI to assess metabolic health risk with objective body composition data

Insurance companies can better assess member risk using body composition metrics that BMI alone misses. Visceral fat, lean mass percentage, and body roundness index are validated predictors of metabolic disease that enable more accurate risk pooling and cost projections.

Objectively measure visceral fat and metabolic health indicators from a mobile scan. No hardware required

Identify high-risk members using body composition markers that predict metabolic disease better than BMI

Deploy face scans (5-second selfie video) for quick triage or full body scans (~1 minute) for comprehensive assessment at scale

Track longitudinal changes to validate program effectiveness and adjust risk profiles over time

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Population Health Analytics

Gain comprehensive visibility into the metabolic health profile of your member population

Understanding population health trends is critical for resource allocation and program design. Prism enables insurers to aggregate body composition data across populations, identify at-risk segments, and measure the impact of wellness interventions at scale.

Aggregate body composition data across populations to identify metabolic health trends and risk concentrations

Segment members by metabolic risk factors (visceral fat, lean mass, body composition) for targeted interventions

Power decision-making with population-benchmarked insights that show how your population compares to norms

Monitor population-level changes over time to measure wellness program impact and ROI

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Member Incentive & Wellness Programs

Drive member engagement with valuable body composition insights as a wellness benefit

Members value health insights they can't get elsewhere. Offering body composition scanning as a wellness benefit drives engagement, rewards healthy behaviors, and generates valuable health data, all while demonstrating member-centric innovation.

Offer members valuable health insights as an incentive for program participation and healthy behaviors

Increase engagement through personalized body composition reports and progress tracking tools

Reduce reliance on self-reported data with objective, visual metrics that members find motivating

Demonstrate tangible value to members through actionable health insights that differentiate your offerings

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Chronic Disease Identification & Management

Identify at-risk members earlier with body composition markers that precede clinical diagnosis

Body composition changes often precede clinical diagnosis of metabolic diseases. Prism enables early identification of at-risk members through visceral fat monitoring and metabolic health indicators, enabling proactive intervention before conditions worsen and costs escalate.

Detect early warning signs of metabolic disease through visceral fat and body composition changes

Monitor members with diabetes, hypertension, or metabolic syndrome remotely without facility visits

Track the effectiveness of disease management programs over time with objective longitudinal data

Enable proactive interventions before conditions worsen, reducing downstream costs and improving outcomes

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GLP-1 Program Monitoring

Support members on GLP-1 medications with body composition tracking for healthy weight loss

As GLP-1 adoption grows, insurers need to ensure members achieve healthy weight loss outcomes. Prism enables monitoring of lean mass preservation throughout GLP-1 treatment, identifying members who need additional support to prevent sarcopenia and muscle wasting.

Monitor lean mass preservation to prevent sarcopenia and ensure healthy weight loss on GLP-1 medications

Track body composition changes throughout GLP-1 treatment programs to validate drug effectiveness

Identify members who may need additional support or intervention based on muscle loss patterns

Demonstrate program outcomes with objective, longitudinal data that supports formulary decisions and coverage policies

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Use Cases