As healthcare organizations move toward taking on greater financial risk for keeping people healthy, it is critical for organizations to match people to the interventions they’re most likely to benefit from.
Healthcare is notorious for its lack of consistent and widely adopted data formats. The one consistent exception is the billing information exchanged between payors and providers.
Today, June 12, 2017, Children’s Mercy Kansas City, Joslin Diabetes Center, Cyft Inc., and The Leona M. and Harry B. Helmsley Charitable Trust are proud to announce the creation of a new learning health system to improve the care of individuals diagnosed with type 1 diabetes (T1D).
Leonard, D’Avolio, Harvard professor and CEO of Cyft, explains how machine learning will change healthcare by focusing on solutions and working with organizational processes.
Cyft is pleased to recognize the publication of three peer-reviewed studies by leading health services researches that used the research precursor to Cyft to address important clinical questions.
Harvard Medical School Assistant Professor and CEO of Cyft, Dr. Leonard D’Avolio’s keynote address to the HIMSS Big Data and Analytics 2016 Conference in Boston.
We learned that a team of health services researchers at Dartmouth College recently published a study in the Journal of Patient Safety using an early research version of Cyft to detect falls in inpatient notes. No one on their research team is a data scientist and using a relatively small sample size they outperformed previous efforts at this task by a considerable margin. They completely excluded us from the work – not even asking for our advice.