Let's Keep the Conversation Going
Jvion Chief Product Officer John Showalter

Predictive analytic companies have been latching on to the idea of “impactability” and it is masking the intent of the term and overstating the real capabilities of predictive analytic solutions. The idea behind “impactability” is this: there are patients whose outcomes can be changed with the right intervention and there are patients whose outcomes can’t be changed no matter what you do. This isn’t about caregiving. Clinicians should provide the best care to all patients regardless of the outcome. This is about focusing the right actions to the exact patients who can benefit.

Most technology advances in iterations. New healthcare devices and technologies often improve on current ways we diagnose and treat illnesses and injuries.

In the 1960s, Holter monitors provided a way to record a full day of heart activity. In the 1980s, cardiac event monitors enabled us to capture specific heart behaviors over a longer period. More recently, wireless technology is promising improved flexibility and ease of data sharing for both types of cardiac monitors.

And then there are technologies that leap ahead to transform what healthcare can do and what we can imagine.

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.