Jvion’s Cognitive Clinical Success Machine is the only clinical appliance to combine Eigenspace and Eigen Sphere technology. This approach is unique in its capability to deliver a comprehensive patient view amplified beyond the risk of an event to the clinical actions that will improve outcomes and drive engagement. And it does this with unmatched speed, clinical applicability, and patient impact.
The machine goes beyond predictive analytic tools and other cognitive machines that stop at patient risk stratification. Using the Eigen-based engine, the Jvion machine is capable of assessing the effectiveness of each possible intervention on a patient’s risk trajectory and determining which of these actions will result in patient engagement. It delivers a full portrait of the patient including the socioeconomic, behavioral, and environmental factors impacting health. And it does this even if data is missing or inconsistent. Only an Eigen-based approach enables this kind of flexibility, precision, and insight into the actions that will most effectively improve outcomes.
For each individual ultra-definition patient view, the machine builds an Eigen Propensity Biography. This biography comprises the factors that influence risk and intervention effectiveness longitudinally and at specific points in time. Target events including risk of hospitalization, length of stay, and patient deterioration are embodied as clinical success vectors. Each vector extrapolates risk, contributing factors, and the macro and micro-level actions that will drive to the best outcome. There are thousands of vectors within the machine that can be activated at any time for any patient.
The machine is tuned, tested, and measured against patient impact. This means that the Cognitive Clinical Success Machine is better able to more precisely identify at-risk patients and more effectively make the right recommendations that will drive quality outcomes. We communicate this impact through our Effectiveness Value Score (EVS). The EVS score and the methodology behind it stand in stark contrast to the approach and measures used by predictive science. These solutions focus on model performance over patient impact and handpick select cohorts over the entire patient population. The EVS score, on the other hand, measures the effectiveness of the machine in identifying patients on a trajectory toward high-risk, delivering the recommended actions that will reduce that risk, and guiding clinical action to those activities that will result in the highest levels of patient engagement.
The Cognitive Clinical Success Machine is designed to “think” about patients in the same way as a clinician: as complex, multi-dimensional individuals who are constantly changing based on internal and external factors. With every new piece of data, the machine “learns” more about each patient in a population. Through this perpetual enhancement of the patient view, the machine reduces a clinician’s cognitive load by pointing his/her focus to the right patients, with the right recommendations, at the right time.
The best way to drive strategic success across operational, clinical, and financial domains is to bring in a machine that can make sense of the current data and deliver the insights that will direct efforts toward patient impact, quality, and business value. That is exactly what the Cognitive Clinical Success Machine is designed to do. The power of the technology goes beyond a single event or target infection. It is truly designed to enable a provider’s strategic goal of improving patient health. And by doing so, the machine helps to support all aspects of healthcare strategy, quality, and value.
The Cognitive Clinical Success Machine is pre-tuned, pre-tested, and pre-wired to impact patient health. It takes only weeks to calibrate to the local patient population and develop the holistic cognitive patient profiles that serve as the basis for the machine’s insights. Once the machine is live, the recommended actions and insights reduce the need for interpretation, lower the cognitive resources needed to turn information into value, and improve clinical and business impact.
To help our clients realize the highest potential value from the Cognitive Clinical Success Machine, we bring to bear the talent and support of our Success Activation Team. This group—which comprises clinical, technical, cognitive machine learning, and process experts—works across the lifespan of the machine to ensure our clients’ clinical and business success. They help to accelerate integration of the cognitive appliance into the organic workflow; reduce demands on IT and clinical resources; measure and report on the clinical and business impact; and provide ongoing support for training, communication, and executive reporting and performance measures.
More than 330 hospitals and 1,000 clinics use Jvion’s Cognitive Clinical Success Machine. The engine is proven, adopted, and producing value for some of the most prominent providers in the nation including Mayo Clinic and Trinity Health. This performance hasn’t gone unnoticed; Jvion’s solution has won numerous external awards including designation as the #1 solution in the market by Black Book Market Research, CB Insights top 80 companies reinventing healthcare, and top 50 disruptive companies in HIT.