Harm Prevention

Hospital Acquired Conditions

Hospitals use the Jvion Machine to identify patients who are on a trajectory toward a hospital acquired condition and to determine the best clinical actions that will improve an outcome. The design of the machine enables it to avoid the pitfalls of predictive models aimed at the list of target conditions provided by the Centers for Medicaid and Medicare Services. The machine accounts for the full future state of the patient including his/her environment and behavior. Hospital acquired condition risk propensities delivered by the machine include the clinical and non-clinical factors driving the risk. And it is with this intelligence that the machine is able to make the clinical recommendations that will most effectively change the trajectory of the patient toward a healthier, better outcome.

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HAC Deep Dive

Catheters
HAC Overview
Hospital Acquired Conditions Overview Hospital Acquired Conditions (HACs) are conditions that are defined by section 5001(c) of the Deficit Reduction Act of 2005 that: Are high cost, high volume or both, Result i...

Applying Prescriptive Analytics for Preventable Harm to Stop Hospital Acquired Conditions

The US ranks 1st in healthcare spending and 37th globally in the quality of care delivered. In fact, we spend $4.6 trillion each year on healthcare. Of that spend, we waste $585 billion on unnecessary, error-ridden, and inefficiently delivered services.
All of this waste contributes to the number three cause of death in the US: medical errors.
This means that more than 250,000 people die each year because of preventable events. These events include Hospital Acquired Conditions, which comprise a set of nosocomial events such as pressure injuries (ulcers), infections, and falls.
The prescriptive analytic capabilities delivered by the Jvion Machine provide an actionable view into the future state of a patient's health including the likelihood that a patient will suffer from an avoidable event such as falls or a pressure injury. The machine goes beyond a patient's risk trajectory to identify the specific, individualized interventions that will lower risk and improve clinical outcomes.
The Jvion Machine is fast, it can be implemented within months and start can start delivering risk and intervention insights at any frequency -- even real time. And the machine is specific. It delivers the exact actions that will stop adverse events from happening. The Jvion Machine accounts for the thousands of variables that influence if someone will get sick. And it uses this information to identify the preventative actions that will lead to the best health outcome.  This means that the Jvion Machine can account for the thousands of socioeconomic, environmental, and behavioral factors that play a  role in health outcomes and risk. It takes these factors, in addition to current and historical clinical data points, to provide clinicians with the most precise view into the future state of a patient's health and the actions that can be taken today to prevent illness, disease, and nosocomial events.
 
Learn how hospitals across the country are using the Jvion Machine to stop patient illness, improve intervention effectiveness, and drive toward value-based models of care and reimbursement.
This academic medical center realized a 66% reduction in stage iii, iv, and un-stageable pressure injuries (ulcers) within the first three months of the Jvion Machine's go live. more
Jvion's Thinking Machine

We created a machine that thinks like a clinician. Here is how we did it.

Immerse Yourself in the Jvion Machine

Take just 2.5 minutes to dive into the world of prescriptive analytics for preventable harm.

The Jvion Machine in Action

See firsthand how the Jvion machine can help your patients and your organization.