CMS Picks 25 Organizations as Finalists in Its AI Challenge

I have posted a number of previous notes about AI and predictive analytics (see, for example:Diagnostic and Predictive Analytics and Their Possible Link to the Future of the LIS;Three Examples of Predictive Analytics in Clinical Practice). Newly emerging tools such as clinically validated algorithms will not only change the face of medical care but will also be financially remunerative. CMS has been clever in its pursuit of AI by creating a challenge with a prize of $1M. In this contest, 25 finalists have been recently announced (see:IBM, Mayo Clinic, Geisinger among 25 finalists for $1.6M CMS artificial intelligence challenge). Below is an excerpt from the article:Out of more than 300 artificial intelligence proposals, the Centers for Medicare& Medicare Services (CMS) picked 25 organizations for the next stage of its AI challenge including IBM, Booz Allen Hamilton and Mayo Clinic. The organizations are competing for a $1 million prize to develop the best tool for predicting patient health outcomes.CMS says the AI challenge, which launched in March, will accelerate the development of AI solutions that aid clinicians in predicting health outcomes and keeping patients healthy. The central goal is to develop AI-driven predictions healthcare providers and clinicians participating in CMS Innovation Center models can use, CMS officials said.....The challenge was created in partnership with the American Academy of Family Physicians and theLaura and John Arnold ...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: AI CMS Diagnostics Healthcare Information Technology Medical Research Population Health Predictive Analytics Public Health Source Type: blogs