The MRI. Antibiotics. Vaccines. X-Rays. These scientific and technological advances changed medicine and healed millions.
Our present and future hold many more similarly profound advances in the health and well-being of people and communities. Cognitive machine technology—think of a hypersmart virtual “brain” that guides nurses and doctors to the right, best clinical decisions for individual patients and entire populations—may well be the most important one.
“The sky's the limit,” said Dr. John Showalter, former CHIO of the University of Mississippi Medical Center, referring to the JVION Cognitive Clinical Success Machine. “It is a tool that solves the problem of the mystery and healthcare, of the art of healthcare. ‘What should I be doing next?’”
There’s tons of talk in healthcare about big data, artificial intelligence, machine learning, and predictive analytics—the buzzwords abound and often get confused and conflated. For example, healthcare media often focus on the more fantastic and futuristic developments, such as surgical and other medical service robots. While undeniably cool, those advances don’t promise the same comprehensive benefits in improving patient health outcomes as cognitive technologies.
The differences are in scope and limitations. A robot that can suture a wound performs a precision function, but it can’t make critical clinical decisions. Predictive analytics can take a set of historical data and make a best guess about risk for certain things—but it’s a limited profile not specific to a given patient or population.
In contrast, a cognitive machine offers the most complete, revolutionary leap ahead to consistently better patient care, experience, and successful outcomes. The JVION Cognitive Clinical Success Machine (literally a machine, a box you plug in) makes more than a quadrillion clinical and non-clinical considerations for each patient. Self-learning components (called Eigen Spheres) absorb and interpret the data for each patient. The result is the clearest, most precise, swift, and specific patient view. It incorporates external and socioeconomic variables alongside the clinical factors that determine health outcomes. The applications for guiding optimum patient outcomes are limitless, as expressed by Grady Health System CIO Ben McKeeby speaking of the JVION cognitive machine:
“From a quality perspective there's a number of different [applications], whether it be hospital acquired conditions or revenue or population health. I think the possibilities are endless. Anything that gets down to the patient specificity of a prediction or an intervention [that allows] us to impact the health of the patient more efficiently and effectively.”
With the core cognitive engine in place, healthcare providers can add an unlimited number of new specific areas of focus on patient care to open for complete visibility and direction for clinical action. For example, JVION and the Mayo Clinic recently partnered to release the Bedside Patient Rescue extension of the Cognitive Clinical Success Machine to identify and appropriately treat patients at risk of avoidable deaths.
The benefits extend far beyond just guiding the best care for a single patient. It empowers nurses, doctors and providers to care for and heal entire populations.
In this article, Dr. Roger Smith, chief technology officer of Florida Hospital Nicholson Center, summarizes the perceived challenge with visibility into clinical needs and risks of whole communities.
“We know so little about the aggregate health of communities because there aren’t enough minds and hours to collect and analyze massive datasets.”
The Cognitive Clinical Success Machine erases this blind spot, providing a complete understanding of health risks and the correct actions to address them.
“[We’re] looking beyond just the hospital walls and moving it into how [the JVION cognitive machine] is a tool used truly for…health and wellness,” said Edye Cleary, chief quality officer for the Health First system in central Florida. “I think the role of cognitive science going forward is just going to be huge, across the board.”