In this TEDx talk Dr. Leonard D’Avolio, Harvard Medical School Assistant Professor & CEO of Cyft, explains why healthcare is 30+ years behind other industries when it comes to using data, the transformative potential of data in healthcare, and why data is now finally changing healthcare for the better.
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.
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.
If you’re going to measure, as we know health care improvers must do, you’re going to generate data. If you’re starting to wonder what you’re doing with all your data, you might want to listen to this WIHI.