See how Cyft is turning data into better surgical care.
Do you think Amazon purchases a 3rd party machine learning tool to tell them what books you might want to order? No. So why do we expect 3rd party algorithms to solve our core business problems in healthcare?
AI is used as an example of a capability hindered by the lack of access. But of course, lack of access causes greater harm than just slowing AI adoption.
Grand Rounds by Cyft CEO Dr. Leonard D'Avolio at Children's Mercy Kansas City.
Dr. D’Avolio spoke at BrightHealth’s client conference on the difference between traditional analytics and the need for performance improvement in value-based care.
In this episode of the In Context podcast, we welcome Len D’Avolio. In his conversation with Kathryn Hume, they talk about what does and doesn’t work in helping companies shift from a deterministic to a probabilistic operating model through the lens of the healthcare industry.
Painfully little has been written for non-technical healthcare leaders whose job it is to successfully execute in the real world with real returns. It’s time to address that gap for two reasons.
We usually deal with smaller sets of rich but messy data (sample sizes in the hundreds or thousands). 10k rows vs 10M rows of claims data tend to be equally useful (or useless) for most problems.
Dr. Mark Clements, MD, PhD, discusses how Children’s Mercy Kansas City (CMKC) is partnering with Cyft and the Helmsley Charitable Trust to create more effective quality improvement programs by using predictive technologies.
In this episode of Creating a New Healthcare, Dr. Zeev Neuwirth interviews Len D’Avolio, CEO and founder of Cyft – an organization that uses data and Artificial Intelligence (AI) I to make value-based care wildly successful.
Leonard D’Avolio, Harvard Medical School Professor, and CEO of Cyft summarizes the 2017 National Academy of Medicine Digital Learning Collaborative.
I asked LinkedIn friends to submit their questions related to AI in healthcare in preparation for an upcoming keynote at this year’s HIMSS in Vegas. I promised to try to answer the questions they submitted.
Leonard D’Avolio is a medical school professor, an entrepreneur—and a pragmatic optimist. Learn why he has spent the last 13 years trying to make data the key to improving healthcare and why he thinks we are now at the tipping point.
The healthcare AI space is frothy. Billions in venture capital are flowing, nearly every writer on the healthcare beat has at least an article or two on the topic, and there isn’t a medical conference that doesn’t at least have a panel if not a dedicated day to discuss. The promise and potential is very real.
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.
Leonard, D’Avolio, Harvard professor and CEO of Cyft, explains how to work with “scruffy” data to improve healthcare.
These days, every care management / value-based care organization has a risk score to help target interventions. Unfortunately, these risk scores often frustrate clinicians by directing them to people who cannot benefit from an intervention – either the person is not actually headed for trouble, or the clinician already knew about that person.
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.
Data scientists like Sid Henriksen, a Ph.D. student nearing graduation, often ask me how they can succeed in healthcare. With Sid's permission, here are a few questions and insights for aspiring healthcare data scientists.
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).