The UCHealth CARE Innovation Center’s new Applied Decision Science Lab (ADSL) will focus on developing more effective ways to use decision support science to reduce clinical variation, streamline provider workflows, enhance clinician decision making and improve...
Leading healthcare organizations will need to embrace advances in artificial intelligence, digital ecosystems and other technologies to empower consumer experiences and scale health expertise to meet a changing healthcare landscape.
The University of Chicago Medicine is collaborating with Google on an initiative that focuses on using new machine-learning techniques to create predictive models that could help prevent unplanned hospital readmissions, avoid costly complications and save lives.
Austin-based health IT solutions provider MAP Health Management and IBM Watson Health are collaborating on the development of new software that uses cognitive computing to treat addiction and substance abuse.
A team of scientists at IBM Research, in collaboration with scientists from Sutter Health, recently completed research developing methods to help predict heart failure based on hidden clues in Electronic Health Records (EHRs).
The Department of Veterans Affairs (VA) and the Department of Energy (DOE) have launched a new partnership focused on combining the VA’s healthcare and genomic data with the DOE’s technologies in big data, artificial intelligence and machine learning to identify...
OM1, a Cambridge, Mass.-based startup focused on providing outcomes measurement and predictive analytics for value-based and personalized healthcare, has raised a series A financing round of $15 million.