Preventable harm contributes to as many as 400,000 deaths per year. Reducing preventable harm saves lives. But, healthcare demands and the need to drive quality outcomes lead to clinician/staff burn out and dissatisfaction. Because they don’t have the right information, medical staff is likely unknowingly overserving patients who don’t actually need preventative interventions while undeserving patients who do.
Preventable harm also contributes to avoidable cost. According to PricewaterhouseCoopers’ Health Research Institute, $312B is wasted in clinical treatment that is either ineffective or not implemented. This includes unnecessary treatments, preventable hospital readmissions, poorly managed chronic conditions, avoidable ER visits, hospital-acquired infections, treatment variation, and medical errors.
The return on investment and return on effort is minimal. The costs avoided are real. The cost of not addressing this is high. Here are just a few highlights from clients using Jvion to reduce rates of preventable harm:
Adoption of analytics to improve clinical outcomes is taking place across healthcare. This is no longer science fiction; it is happening now. Analytics are being adopted by health systems big and small. In fact, 54% of Healthcare professionals expect widespread adoption of AI enabled technology within the next five years. Estimates are that the health AI market will grow 10X in the next five years.
Pure fee-for-service is fading faster than predicted now accounting for only 37.2% of reimbursement. Rates are projected to dip below 26% by 2021. With CMS linking payments to hospital performance, including Hospital-Acquired Condition (HAC) Reduction Program, Hospital Readmissions Reduction Program, and other value-based programs, critical reimbursements are affected by reducing preventable harm. Their actions demonstrate that they believe preventable harm should be prevented.
Traditional AI and predictive solutions are designed to identify only the highest risk patients. These patients are typically already known to clinicians. Focusing on this patient segment adds to alarm fatigue, minimizes the usefulness of the solution, and misses “impactable” patients—those patients whose risk trajectories can be changed. In addition, these tend to be “black box” solutions that don’t tell clinicians the factors driving an individual’s risk. They can’t identify the individualized actions that will change a patient’s trajectory and lead to a better outcome. This is why many of these AI and predictive solutions have failed to gain clinical staff acceptance and confidence, and they have failed to have an impact.
Traditional analytics solutions require models to be built, tested, validated and adjusted for each problem they are trying to solve. This typically requires 12+ months, significant resources, and it creates risk since the models are unproven until used over time. It also requires clean data, which most healthcare providers lack.
The Jvion Machine takes a different approach: it can be applied to a new preventable harm vector in 2-3 months, requires no new models, limits testing requirements and can work on data that is not perfect or “clean.” Using an advanced mathematical approach called Eigenspace, dataset of more than 16 million patients, and software, the Jvion Machine can be applied to 50+ preventable harm vectors across your enterprise. This results in faster deployments with less risk and more value from your investment.
As the leader in prescriptive analytics for avoidable harm, Jvion has proven effective in clinical settings for nearly a decade. More than 40 health systems have documented results with hospitals reporting average reductions of 30% in avoidable harm incidents and avoidable cost savings of $6.3 million a year.
This is not an untested concept for the brave few early adopters. Jvion is proven in everything from community hospitals, major academic urban hospitals, leading for-profits, and two of the biggest healthcare providers in the US. We’ve been there before, we’ve seen just about everything, and we pass this experience along to you.