Cognitive Machine Driven Primary Care for Chronic Disease and Ambulatory Care Sensitive Conditions
There are two trends that have the potential to completely change healthcare in the US:
The movement of more care activities into outpatient / ambulatory settings
The exponential rise of chronic conditions
At the convergence of these two trends is a system tasked with controlling costs while improving health outcomes.
While chronic conditions account for more than 86% of all healthcare dollars, these are also some of the most preventable and effectively controlled illnesses. But current technology isn't equipped to provide the insights needed to stop complications and target care activities that will help better manage patients with chronic conditions and drive more effective clinical action.
Jvion's Cognitive Clinical Success Machine helps providers target rising-risk patients and reduce complications related to chronic diseases. The machine is finely tuned to ambulatory care sensitive vectors to help providers identify the right activities that will help stop rising risk earlier and more effectively. It does this by delivering a holistic patient view that understands the risk of target medical events within the context of the patient, his/her environment, and the thousands of external factors that influence health.
The machine, which is based on a hyper-dimensional platform, makes more than a quadrillion clinical and non-clinical considerations for each patient continuously. The resulting view into patient risk and the actions that will reduce that risk are more comprehensive and clinically relevant that anything other solution.
With the Cognitive Clinical Success Machine, providers are able to stop:
Diabetes complications with the likelihood of admission
Avoidable admissions for other chronic conditions including heart disease, obesity, and allergies
Rising-risk patients with the likelihood of becoming high-risk
And providers have the actions and recommendations needed to:
Prevent diabetes related complications and deterioration
Avoid preventable admissions due to chronic disease-related complications
Lower the cost of care for patients with chronic conditions including asthma, diabetes, heart disease, obesity, and allergies
Prevent rising-risk patients from becoming high-risk