Decision Support
The five-year project will focus on enabling faster medical research innovations, protecting against global health crises and improving access to care, the company says.
As regulatory oversight for predictive decision support evolves, certain best practices can help health systems get the most from machine learning-powered CDS models.
The major player in imaging and health IT discusses the trends and some of its technologies with an eye on helping HIMSS20 attendees navigate the show.
Its new analytics project will apply AI to deidentified data from across Mayo and other health systems, and comb scientific literature to gain insights into new medical advances.
Emerging Technology
Five health IT experts from patient experience and patient engagement IT vendor GetWellNetwork open up about what they are seeing as important trends this year.
FHIR-based clinical data retrieval and an API to more easily share data will help payers, pharma and providers with forthcoming 21st Century Cures rules, the company says.
Cloud Computing
A study published in Nature suggests its model was able to spot cancer in de-identified screening mammograms with fewer false positives and false negatives than experts.
Innovation
As artificial intelligence and robotic process automation are more widely deployed, they will help rehumanize medicine by allowing doctors to focus less on paperwork and administrative functions, and more on patient care.
The NYU School of Medicine’s technology enables radiologists to see images the way they currently see them, then, if they deem necessary, ask the AI for its opinion. Results to date are impressive.