Clinical AI that Moves Healthcare from Predictive to Prescriptive Intelligence

Providing healthcare organizations with an accurate and concise way to address avoidable patient harm, financial risks and adverse member health outcomes.

AI Solutions for Payers

Reduce unforeseen member risk, improve engagement and target programs with clinical AI.

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COVID-19 Response Suite

Leveraging clinical AI to inform community, patient and institutional response strategies.

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KLAS Healthcare AI 2019 Report Identifies Jvion as a Top Performer in Healthcare-focused AI

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Representative Clients

Augusta Health
Baptist Health
Baycare Health Partners
Baystate Health
Cardinal Health
Carilion Clinic
Carolina East Health System
Cleveland Clinic
Duke Health
Evergreen Health
Envision Insurance
Envision Insurance
Grady Health
Mayo Clinic
MD Anderson Cancer Center
MD Anderson Cancer Center
Memorial Herman
Memorial Herman
Mercy Medical Center
Northwell Health
Novant Health
Novant Health
Optima Health
Southeast Health
St Peters Healthcare System
Summa Health
Summa Health
The University Of Tennessee Medical
Total Health Care
Tower Health
Tower Health
UAB Health System
UnityPoint Health
University Hospitals
Patients' Lives Improved by the Jvion Machine
Risk Factors Considered


Combines clinical, behavioral, socio-economic, environmental and other non-clinical data points to build and optimize holistic, personalized patient risk and intervention models addressing more than 50 preventable harm conditions.


Produces a patient-specific risk propensity to pinpoint patients’ risk trajectories and formulate the clinical and non-clinical interventions that can reverse this risk.


Provides patient-specific and clinically validated interventions to reverse risk trajectories, improve patient outcomes, drive better, personalized care and prevent a range of harm.

Watch and learn how hospitals are saving millions
and cutting resource demands in half.

The Jvion Machine helps healthcare systems prevent harm and lower costs, using prescriptive analytics for preventable harm that identifies specific patients on a risk trajectory, determines if that trajectory can be changed, and if so, recommends patient-specific interventions.
Stephen Blackwelder, Chief Analytics Officer at Duke University Health System, speaks to how Duke uses Jvion's Clinical AI solution to manage falls and efficiently allocate resources.

The Jvion Machine is a combination of Eigen-based mathematics, a dataset of more than 30 million patients, and software that can be quickly applied to 50+ preventable harm vectors without the need to create new models or to have perfect data.


Helping hospitals reduce target illnesses, prevent patient deterioration, reduce the cost of care, and improve community health efforts.


Integrated Delivery Networks
Helping IDNs manage utilization, network performance, and financial risk while providing the patient-level insights that drive improvements in health outcomes and care.


Accountable Care Organizations
Enabling ACOs to better serve the covered population, determine market opportunities, track performance against Value Based Purchasing measures, and manage Medicare spend per beneficiary.


Post-Acute Care Facilities
Reducing complications, infections, and readmissions for patients regardless of care setting.