As the role of American health insurers expands, the importance of their participation in every step of the continuum of care grows in importance.

How We Help

EarlySign’s machine learning solutions create opportunities for insurers to work more closely with provider organizations to efficiently identify at-risk patients and provide early opportunities for intervention. Early intervention creates direct opportunities for better care management for those at risk and can ultimately provide a better yield.

The result: Condition-specific, personalized clinical models with the potential for more robust findings and lower downstream care costs.

Key benefits

Improve Outcomes

Identify plan members who would benefit from more focused upstream care management and develop more integrated relationships with provider organizations

Reduce Costs

Create early intervention opportunities for members at risk.

Optimize Care Management

Focus members with higher clinical risk; use fewer resources with a greater yield, or achieve a better yield using identical resources.

Additional Methods for Risk Adjustment

Improve risk adjustment by diagnosing or anticipating patients with higher-risk, based on their clinical trajectories.

Leverage At-Hand Clinical Data

Use existing labs results and routine clinical data to gain additional insights.

Improve Ratings

Additional tools to reduce gaps of care, leveraging insights from clinical data.

More Effective Use of Care Management Resources

EarlySign’s machine learning-based solutions have the potential to reduce costs and improve outcomes. Our results have helped uncover underlying conditions in “hot segments” of populations with potentially clinically significant conditions.

Even if such populations are asymptomatic or unwilling to share their health concerns, EarlySign’s integrated platform provide the tools for payer organizations to potentially provide a faster path to diagnosis and optimized care. These insights position communities for further evaluation and determination of need for appropriate care.