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.
So what went wrong, and how does it inform quality healthcare outcomes for your patients? The CueCat reminds us that a truly valuable technology must (a) solve a problem that actual people have and (b) not require people to fundamentally change or disrupt their behavior or processes. Technology shouldn’t make people work harder for the same or diminished results.
JVION began with the mission to solve perhaps the most important real challenge—helping doctors and nurses heal people better, faster, and more completely. We recognized that the power of cognitive technology, plugged rapidly into existing healthcare systems, would guide caregivers to make rapid clinical decisions that deliver the best immediate and long-term care for patients. It works because it understands the workflows and information needs of nurses and doctors to deliver quality care. It works with caregivers toward their mission, not against them.
Consider the care coordination workflow for hospital patients:
- Assessment and admissions
- Diagnostic services, tests, and treatment
- Discharge recommendations, planning, and orders
- Post-acute follow up and treatment to ensure sustained healthy outcomes
That’s a simplified summary—there are numerous complex clinical decisions and actions within each part of that patient care workflow.
Many healthcare technologies add burdens for caregivers in progressing that quality care workflow—increased data entry, complicated report interpretation—that distract from spending time focused on their patients. Or they have limits to the patient data they can process in a rapid and meaningful way to make the best timely clinical decisions.
The Cognitive Clinical Success Machine, in contrast, continuously, seamlessly gives caregivers the answers that advance the quality care of patients. It provides accurate, intelligent clinical guidance at every point in the care workflow. And it works with the systems and processes that caregivers already use, adding value in all areas that improve health and outcomes. For example:
- Reducing medical errors: A high-definition portrait of the patient's future health tells caregivers the likelihood of an avoidable event such as sepsis or a pressure ulcer. In the flow (and often chaos) of coordinating care for multiple patients on units, this precision knowledge improves and saves lives.
- Driving prevention and health for individuals and the community: Community health applies smart, rapid, preventative measures for all patients across all care settings to identify people who are going to get sick, determine the best interventions as well as the people who will engage in them.
The cognitive machine delivers this same clear direction for caregivers to make the best clinical decisions to avoid readmissions, stop chronic condition complications, and prevent avoidable ER visits.
The cognitive machine empowers nurses, doctors and all care providers to seamlessly advance these improvements in patient outcomes by having the best clinical choices at hand, when they need them, in the natural flow of their jobs. Patients, caregivers, and the health of the community all win.