Prevent Harm Through AI‑enabled Prescriptive Analytics

Jvion helps healthcare systems prevent harm and lower costs, using AI-enabled 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.

Representative Clients

Baptist Health
Baycare Health Partners
Baystate Health
Cardinal Health
CareATC
Carilion Clinic
Carolina East Health System
Cleveland Clinic
COPD Foundation
Dallas Fort Worth Hospital Council
DSS VA
Duke Health
Evergreen Health
Geisinger Caring
Grady Health
Jennie Stuart Health
Mayo Clinic
Memorial Health
Mercy Medical
Northwell Health
Onslow Memorial Hospital
Optima Health
Mercy Medical Center
Sentara
Southeast Health
St Joseph Health
St Peters Healthcare System
The University Of Tennessee Medical
Total Health Care
Trihealth
UAB Health System
UnityPoint Health
University Hospitals
WSHA
1000
Patients' Lives Improved by the Jvion Machine
1000
Risk Factors Considered

Analyze

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.

Identify

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

Prevent

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.
 
As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.

The Jvion Machine is a combination of Eigen-based mathematics, a dataset of more than 16 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.

Hospitals

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

IDNs

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.

ACOs

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.

PACs

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