Press Room

Jvion’s C. Difficile Vector Lowers Infection Rates and Improves Health

Clostridium difficile infection (CDI) is a severe bacterium that impacts hospitalized patients and significantly increases risk of death. Jvion’s CDI vector helps providers determine who is at-risk of a CDI and accounts for risks beyond the current patient to drive considerations for the 20-50% of asymptomatic patients that contribute to CDI risk.

Atlanta, GA July 13, 2017 -- Clostridium difficile infections (CDIs) are on the rise in the United States. According to the Centers for Disease Control and Prevention, there are nearly half a million C. Difficile instances in a single year of which 15,000 deaths are directly attributable to the infection. Based on a study published by the National Center for Biotechnology Information (NCBI), the average cost per CDI per case ranges from $9,000 to $11,500. This adds up to $4.8 billion in excess cost and potential losses within just short-term acute care hospitals.

In response to growing need, Jvion activated a C. Difficile vector within the company’s leading Cognitive Clinical Success Machine. This vector, which is generally available, helps hospitals identify patients at risk of developing a C. Difficile infection during the hospital stay. Further differentiating the solution is its ability to provide the recommended actions that will most effectively reduce risk. The multidimensional view rendered for each patient includes an enterprise-wide, longitudinal dimension to account for the 20-50% of asymptomatic patients who can drive up risk across a hospital’s patient population but remain difficult to identify.

“The C. Difficile vector within the Cognitive Clinical Success Machine is really designed to deliver granular, patient-level information that is customizable to a specific population and tuned to a hospital’s operational needs,” explained Dr. John Showalter, Jvion’s Chief Product Officer. “Because the machine accounts for the invisible carriers of C. Difficile and the contributing risk factors driving an individual’s risk, hospitals are better able to work collaboratively to stop the actions that may be driving up risk and implement the actions that will help to stop what is a potentially deadly but avoidable infection.”

Jvion’s C. Difficile vector is one of thousands currently enabled within the Cognitive Clinical Success Machine. This machine, which relies on applied cognitive science techniques, is helping hospitals manage care across the continuum. From avoidable ER admissions to readmissions and chronic condition management, the Cognitive Clinical Success Machine is driving preventative, tailored medicine across diverse and ever changing patient populations.

About Jvion

Jvion, Inc. (Jvion) delivers a Cognitive Clinical Success Machine that serves as a high-performance appliance for providers and the healthcare community. It activates macro and micro-level recommendations that help healthcare providers who need ultra-definition patient-level prioritizations, clinical action insights, and suggestions produced with unmatched speed, clinical applicability, and verity. The machine delivers the action-level recommendations that will best reduce the likelihood of an adverse event. This capability is enabled by a cognitive engine driven by horsepower that is based on more than a quadrillion clinical and non-clinical considerations and thousands of data elements. The machine’s thousands of self-learning Eigen spheres are applied to this data for each patient in real time to render a Compound Eigen Hebbian Biography that delivers a view into a patient’s total health 30,60,90, up to 365 days in the future. This machine is helping hundreds of hospitals across the nation reduce target illnesses and diseases.

One of the reasons Jvion’s solution is independently ranked number one in clinical predictive science is because the machine is more than accurate, it is effective. Our approach mitigates the “accuracy fallacy” perpetuated within the industry by delivering a true picture of individual patient risk along with adjacent risks and actions that will lead to better health outcomes. Because Jvion’s machine works as a cognitive appliance, it plugs in directly to the existing Electronic Medical Record/clinical systems to deliver recommendations seamlessly into the organic workflow. Clinician and caregiver adoption of Jvion’s recommendations is accelerated because of the “on-demand” nature of the information. The machine outperforms and outsmarts even the highest performing predictive solutions/approaches available. And this performance hasn’t gone unnoticed; Jvion’s solution has won numerous external awards including designation as the #1 Predictive Provider in Healthcare by Black Book Market Research.

Tags: HAIs (healthcare-associated infections) C. Difficile