Let's Keep the Conversation Going

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.

This is the part we love most at JVION—sharing the remarkable results our provider partners and their patients are achieving with the Cognitive Clinical Success Machine. And wow, how it’s working. Across all pathologies. Addressing every key area of quality. Improving every efficiency and performance metric that matters to healthcare providers and systems.

Let’s start with a quick study in what makes a technology fail.

The CueCat was a much-hyped, well-funded and frankly terrible idea from the Internet boom days. The founding company raised about $250 million in big chunks from NBC, Forbes, Radio Shack and others. They bet that consumers would want to use a whiskered, mouse-like device to scan barcodes in newspapers and on Coke cans that linked to Web pages. Really. The whole thing folded up within a year of its September 2000 launch. Time later named it one of the 50 worst inventions.

Every healthcare practice and hospital has endured a tough technology adoption. A new system introduced with big promise, but that took months (or years) to implement and disrupted and frustrated clinicians. All without the anticipated improvements in care delivery or efficiency.

And then there are stories like this.

Predictive analytic solutions, which span the continuum from simple rubrics to complex neural net models, share a common boundary problem. At some point, the predictive model reaches a point where it is no longer accurate at identifying at-risk individuals. No matter how clean the data is or complex the math, all predictive models will reach this point.