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).
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.
The Cyft holiday getaway was supposed to be a chance for this new team to forget about the daily grind.
With 30 percent of Medicare payments expected to be tied to alternative payment models and bundled payments by the end of 2016, the pressure is on for healthcare leaders still struggling to align their organizations with the idea of value-based care (VBC).
Healthcare IT News wrote a great piece encapsulating Len’s thoughts and those of his fellow presenters; all who sought to explain the potential impact of machine learning on healthcare.
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.
The transition to value-based care has made it more important than ever for healthcare organizations to use their data to determine how best to allocate limited resources to achieve high quality care. In response, an onslaught of business intelligence vendors have descended on healthcare with data warehouses, reporting tools, and dashboard analytics that have led to tremendous efficiency in other industries.