Clinical AI that
Addresses Unforeseen &
Avoidable Member Risk

Get beyond the limitations of traditional predictive analytics

Improve Member Health &
Operational Outcomes

Value-based care, consumerism and deferred care are driving the need for robust and prescriptive member analytics.

Traditional predictive analytics stratify populations and stop — Jvion takes it several steps further. Our AI approach identifies members on a trajectory for poor outcomes and delivers individualized and prioritized care interventions to guide member activation, engagement and ongoing cost and utilization management.

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Traditional Predictive Analytics vs. the Jvion CORE™

identify-chart Traditional
Stop Here


Member Risk & Vulnerability

Spanning clinical, environmental and social determinants

Traditional Predictive Analytics Stop Here


Modifiable Members

Evaluate modifiable members
and their unique attributes to
drive action plans



Best Intervention
& Method to Engage

Provide evidence-based, individualized
interventions and the best activation and
engagement channel

How Jvion Can Help Health Plans

Areas where Jvion’s clinical AI can be applied to help prepare for unforeseen member risk, improve outreach effectiveness, drive better health outcomes and contain avoidable costs:

Population Health

Understand the socioeconomic factors driving risk at the community and individual level

Chronic Care

Prepare for members whose health have deteriorated as a result of deferred care and help them manage chronic conditions

Member Activation & Engagement

Maximize member outreach by understanding their preferred channel of communication and timeframe

Behavioral Health

Help members on a path to depression, substance abuse and other behavioral health conditions

Cost & Utilization Management

Identify avoidable utilization and the interventions that will help keep members out of the hospital

How the Jvion CORE™ Works

Our AI provides data and clinical insights that drive down costs and utilization, improve outcomes and member engagement strategies.

The CORE makes sense of:
  • Data from 99% of the US population
  • 27,000 clusters representing clinically / behaviorally similar people
  • Up to 10K factors mapped per person on a 30M person database
Clinical & Exogenous Data:
  • Social
  • Census
  • Socioeconomic
  • Hospital, ClinicEMR, HL7
  • Clinical Research
  • Commercial Payor
  • Medicare
  • Other
Jvion CORE

Get beyond traditional predictive analytics with Jvion's Clinical AI Solutions

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