Prescriptive Analytics
for Preventable Harm

Jvion 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.

Top Things to Know
About Jvion

Blog
When It Comes to Preventing Harm, Risk Scores from EHRs Simply Don’t Cut It (and Here’s Why!)
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Learn
Find out how we reduce preventable harm by 30% and cost by $6.3M

Find the at-risk patients that you can help and provide the recommendations that will drive to the best possible outcome.

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Stay Informed
Novant Health selects prescriptive analytics leader Jvion as inaugural partner for new Institute of Innovation & Artificial Intelligence
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Real Actions, Real Results

By shifting treatment of early intervention to primary prevention, this hospital lowered inpatient sepsis rates by more than 25%.

Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and
provides the patient-specific recommendations that will drive to a better outcome.

HIV Patient Recovering at Home
HIV: Avoidable Inpatient Admission
By accounting for an unknown medical history of gastrointestinal bleeding, the Jvion machine identified this patient as at-risk of an avoidable inpatient stay and helped the care team truly personalize interventions.  Continue
Oncology End-of-Life Care
Oncology: End-of-Life Care
By accounting for this patient’s current acute gastric issues, the Jvion machine identified a disconnect between the current care plan and the patient’s actual end-of-life care needs.  Continue
Elderly Woman Home Visit for Avoidable Regression
Sepsis: Avoidable Health Regression
By identifying this cancer patient as at risk of mortality, her physician immediately brought her in for an office visit. Despite no signs or complaints, bloodwork revealed that the patient was septic. She was rushed to the hospital where she was treated and released.  Continue

Patients' Lives Improved
by the Jvion Machine

1000

Patient Considerations

1000

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.