Cognitive Impact

Hospital Acquired Conditions

Hospitals use Jvion’s Cognitive 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 machine is so much more than a combination of predictive models aimed at the list of target conditions provided by the Centers for Medicaid and Medicare Services. The machine “sees” the full future state of the patient including his/her environment and behavior. Hospital acquired condition risk propensities delivered by the machine account for every other risk and contributing factor at the same time for every patient. 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

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 Cognitive Machine Intelligence 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. This includes Hospital Acquired Conditions which comprise a set of nosocomial events such as pressure injuries (ulcers), infections, and falls.
Jvion's Cognitive Clinical Success Machine delivers a high-definition view into the future state of a patient's health to help stop hospital acquired conditions. It provides a holistic portrait of the patient including the likelihood that a patient will suffer from an avoidable event such as falls or a pressure injury. This portrait encompasses not just the patient’s risk, but also the recommended actions that will deliver the best health outcomes.
Jvion's tool is fast, it can be implemented within weeks and fire future patient risk views in any frequency -- even real time. And the tool is specific. It delivers the exact actions that will stop adverse events from happening. The 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. It has 200x the cognitive capacity of the human mind to assimilate and assess the factors that impact a decision. This means that Jvion's Cognitive Clinical Success Machine can see the thousands of socioeconomic, environmental, and behavioral factors that play a leading 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 Jvion's Cognitive Clinical Success 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 Cognitive Machine go live. more
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