Jvion delivers a Cognitive Clinical Success Machine for healthcare.
The tool serves as a high-performance appliance that produces recommendations for healthcare providers who need patient-level predictions, prioritizations, interventions, and suggestions rendered with unmatched speed, clinical applicability, and patient verity. Our machine relies on the process of Embodied Cognition to produce patient-specific prioritizations, interventions, and suggestions within two weeks. To do this, we use micro-level action engines within our Eigen Spheres to target the 52 specific illnesses and conditions that are top concern for providers. All that is necessary is to fine-tune our cognitive appliance to local patient and community population nuances.
Our machine is tailored to the challenges faced by healthcare: it uses the data that a provider has on hand - no matter how incomplete, inconsistent, or disparate - fits directly into the clinical workflow, can be stood up in weeks without heavy reliance on IT or clinical resources, and provides a holistic view in the future patient risk so that providers can target the illnesses and conditions that are important to their patients and their operations. It is a proven solution that has already improved thousands of lives. And it is externally validated by industry analysts like Black Book Market Research and top providers.
An MRI is complex and extremely difficult to understand and build. But it gives you a holistic and highly detailed view into what is going on inside a patient today. What we deliver through our Cognitive Clinical Success Machine is a highly detailed view into what is going to happen to a patient in the future AND we deliver the actions and recommendations to avoid that risk. Our tool accounts for the thousands of dimensions that impact a patient’s life and health so that you have a high definition view into the future state of the patient. And this future state can extend from one month to a year.
Predictive analytics means nothing. In fact, the term is so diluted and empty that it is worthless within healthcare. Just about everyone has some kind of "predictive tool," most of which are little more than scoring rubrics dressed up with a fancy data science term.
To really help control risk, the industry has to look to cognitive science: the kinds of technologies that know what you are going to type in your search box before you hit a second key; the kinds of technologies that can outwit even the smartest quiz game genius; the kinds of technologies that deliver a glimpse into the future health of a person and provide the path to prevent illness (which is what we do).
As an industry, we have to move past the idea of isolated risk events driven by use cases (readmission, pressure ulcer, etc.) and think about risk in term of 1. the entire person and 2. what we can do about it. This holistic way of thinking about patients is the driver behind our Cognitive Clinical Success Machine. What we power is a vision into what will happen and the specific actions that will keep a person healthy.