Sometimes, major inflection points happen when we take what is working within other industries and calibrate it to address the challenges that we face within healthcare. This is what is happening today with the Jvion Machine. Based on intent-driven, proven search engine technology, we can answer incalculable questions about patient health. When will I end up in the emergency room? Will my grandmother get a pressure ulcer while she is in the hospital? What post-acute care is best for me? More importantly, we can tell you what to do to stop these things from happening. All of this capability is enabled by the same kind of perpetually learning, constantly expanding cognitive capability that knows when you want to take a vacation, what shoes you like to wear, and the exact quote on the exact page of the exact book that you are searching for.
Prior to creating the industry’s first Eigen-based machine, our engineers were at the forefront of the advanced technology behind today’s Internet search engines. They were revolutionaries who evolved these machines from simply ranking search results based on key words to the cognitive, precise applications that they are today.
Remember when a search for "Fast food" would return results about supersonic airplanes, race cars, nutrition, recipes—things that are "fast" and "food"? With intent-driven capabilities, search engines leapt forward. Now they understand intent, even when you misspell a word or leave out a key phrase, and provide multiple vectors to immediately satisfy your information needs. A search for "Fast food" returns restaurants within a few miles of your location, along with hours of operation, "star" ratings, photos, maps, phone number, menus and more.
Jvion pioneered the application of intent driven technology to the clinical realm to answer the questions that are most consequential to health outcomes. Patient medical history, socio-economic data, clinical research, current clinical results, population census data, nutritional "food deserts", even weather and air quality – thousands of data points for every patient or member in a population are accounted for. Some data may be missing; some data may be incorrect. What we do is apply intent-based cognitive analysis to each patient within a population – literally quadrillions of considerations are made for every patient in real time. And what we deliver is something that Penny Burlingame Deal, CEO of Onslow Memorial Hospital described as, "revolutionary; that you can actually use search engine technology to drive better patient outcomes."