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.

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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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Jvion Featured as Leading Player of Machine Learning in Medicine Global Market
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Real Actions, Real Results

By preventing health regression, this system saved more than $4.8M in costs associated with their employee health and self-insured populations.

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.

Identify Patient
HAC: Pressure Injuries
By identifying this patient who was on a trajectory toward high-risk, The Jvion machine directed nurses to apply primary prevention efforts that stopped the development of a pressure injury.  Continue
Doctor Appreciation
CHF: Readmission Prevention
By knowing that this 79-year old man was newly diagnosed with congestive heart failure (CHF), the Jvion machine gave the care team the information they needed to prevent a possible CHF readmission.  Continue
Shortness Of Breath
CHF: Avoidable Inpatient Admission
By uncovering a Congestive Heart Failure diagnosis that had fallen off this patient’s problem list, the Jvion machine ensured that the patient’s condition was treated, and risk of an avoidable admission was lowered.  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.