Cognitive Clinical Success Machine

Speed to Value through Patient Specificity

An AI Solution Like No Other

Jvion delivers a Cognitive Clinical Success Machine for healthcare.
The Cognitive Clinical Success Machine is built using an Eigenspace platform—an approach that is a proven asset in solving complex challenges such as quantum mechanics, search and consumer behavior, facial recognition, and now patient deterioration. This Eigen-based approach is used to enable a comprehensive patient view that is amplified beyond the risk of an event to the clinical actions that will improve outcomes and drive patient engagement. The breadth of application and specificity of the recommendations delivered by the machine is empowering providers with a solution that can extend to all aspects of patient care across ambulatory and inpatient settings.

The major advantages of an Eigen-based approach are multifaceted. With the Cognitive Clinical Success Machine, providers can:

Personalize interventions: the machine not only finds high-risk patients, it can extend its effective view to identify the interventions that are tailored to the specific factors, risks, and engagement propensity attributed to an individual patient

Amplify clinical impact: this technique allows providers to expand the concept of intervention effectiveness to know which patients are not just high or medium risk but—more importantly—where a provider can impact a patient’s outcome

Drive resources where they are needed: the machine is proven to reduce the cognitive load of the caregiver team by ensuring that the right care is delivered to the right patient at the right time while lowering the cost of care by ensuring the best allocation of resources

To find out more schedule a demo today.

It's Like an MRI that Sees the Future

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.
The Cognitive Clinical Success Machine 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 or more.

Start Thinking Differently about Risk and Action

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 simply an algorithm dressed up with a fancy data science term. Whether it is a multi-variate regression, neural network or any other similar algorithm, these models rank patients by risk using slightly different algorithms but always based on patient features.
The inherent problem with this approach is it is not actionable; it does not bring intelligence into what can be done to reduce a patient’s risk propensity. Further, such algorithms rank patients in a single dimension tuned to the highest risk band. The highest risk patients are never the ones that translate into value and effective impact. The large majority of high-risk patients are beyond a point where you can change a trajectory toward a bad outcome. That isn’t to say that we shouldn’t take clinical action on these patients. Whatever we can do to help them is important. But to really drive value and effective impact for the entire patient population, we have to find the individuals who are not high-risk yet but are on a path to becoming high-risk. This is where clinicians can have the biggest impact on outcomes. And this is something that only Eigen-based engines can do.

The Next Generation in Clinical Impact

To really help control risk, the industry has to look to Eigen-based cognitive machines: 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 holistically and provide the most optimal 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 terms 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. While we achieve this through a complex Eigenspace-based platform, the outcome is what really differentiates the machine from any other available predictive, machine learning algorithm. What we power is a vision into what will happen and the specific actions that will keep a person healthy.

To find out more schedule a demo today.
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