Atlanta, GA, September 15, 2017 --Jvion announced the latest Cognitive Clinical Success Machine vector focused on patient engagement and experience. This capability comes ahead of the planned October release of updated hospital star ratings by the Centers for Medicare and Medicaid Services (CMS).
Delivering on the company’s continued commitment to improving patient lives, the availability of the patient engagement and experience vector ensures that providers have the information they need to improve every aspect of care.
“With this vector, we are really helping providers improve both sides of the coin when it comes to care,” explained Dr. John Showalter, Jvion’s Chief Product Officer. “We have had fantastic success improving the lives of at-risk patients across care settings. Now we are able to bookend that capability with the actions and recommendations that will improve the likelihood that a patient will engage and improve the patient experience.”
The vector comprises two capabilities across engagement and patient experience. Patient engagement empowers providers with the ability to determine if a patient will engage with a specific clinical action or intervention. By making sense of the thousands of socioeconomic, behavioral, environmental, and clinical factors that are relevant for each individual patient, the machine pin points the individuals who are most likely to benefit from and engage with a specific care activity. Patient experience compliments patient engagement by identifying potential gaps in a patient’s perception of care. The machine directs care givers to the actions that will address the gap so that the overall experience of care is improved.
“Our goal is to improve the quality of care delivered for every patient regardless of where they are in the healthcare system,” said Showalter. “With the release of this capability, we are helping providers deliver on their commitment to better patient care while driving the efficiencies that reduce cost.”
Jvion, Inc. (Jvion) delivers a Cognitive Clinical Success Machine that serves as a high-performance appliance for providers and the healthcare community. It activates macro and micro-level recommendations that help healthcare providers who need ultra-definition patient-level prioritizations, clinical action insights, and suggestions produced with unmatched speed, clinical applicability, and verity. The machine delivers the action-level recommendations that will best reduce the likelihood of an adverse event. This capability is enabled by a cognitive engine driven by horsepower that is based on more than a quadrillion clinical and non-clinical considerations and thousands of data elements. The machine’s thousands of self-learning Eigen spheres are applied to this data for each patient in real time to render an Eigen Propensity Biography that delivers a view into a patient’s total health 30,60,90, up to 365 days in the future. This machine is helping hundreds of hospitals across the nation reduce target illnesses and diseases.
One of the reasons Jvion’s solution is independently ranked number one in clinical predictive science is because the machine is more than accurate, it is effective. Our approach mitigates the “accuracy fallacy” perpetuated within the industry by delivering a true picture of individual patient risk along with adjacent risks and actions that will lead to better health outcomes. Because Jvion’s machine works as a cognitive appliance, it plugs in directly to the existing Electronic Medical Record/clinical systems to deliver recommendations seamlessly into the organic workflow. Clinician and caregiver adoption of Jvion’s recommendations is accelerated because of the “on-demand” nature of the information. The machine outperforms and outsmarts even the highest performing predictive solutions/approaches available. And this performance hasn’t gone unnoticed; Jvion’s solution has won numerous external awards including designation as the #1 Predictive Provider in Healthcare by Black Book Market Research.