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Blog: A Manager’s Guide to Making Machine Learning Work in the Real World
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.
Blog: It’s not really about “big data” in healthcare
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.
Video: Improving Type 1 Diabetes Care With Machine Learning and Quality Improvement Methods
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.
Podcast: Creating a New Healthcare By Zeev Neuwirth
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.
Video: National Academy of Medicine – Digital Learning Collaborative Summary
Leonard D’Avolio, Harvard Medical School Professor, and CEO of Cyft summarizes the 2017 National Academy of Medicine Digital Learning Collaborative.
Blog: Where Will AI Increase & Decrease Costs in Healthcare?
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.
Video: Quality Talks: Making Health Care Count
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.
Blog: 7 Ways We’re Screwing Up AI in Healthcare
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.
Blog: Rethinking How to Measure “Risk” in Healthcare
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.
Video: Faster Cures 2017 – Sharing “Scruffy’ Data – Len D’Avolio Highlights
Leonard, D’Avolio, Harvard professor and CEO of Cyft, explains how to work with “scruffy” data to improve healthcare.
Blog: Risk Scores in Clinical Care- You’re Not From Around Here Are You?
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.
Blog: The Dangers of Claims Based on Claims
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.
Blog: What Data Scientists Need to Learn to Work in Healthcare
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.
Blog: Leading Institutions to Focus on Improving Type 1 Diabetes Care with Machine Learning
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).
Video: Big Data and Machine Learning in Healthcare: How, Why, and When
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.
Video: Moving Beyond the Hype of AI / Machine Learning – Interview at HIMSS Big Data & Analytics
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.
Blog: Three Peer-Reviewed Publications in 2016 Highlight Efficacy of Cyft Solutions
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.
Blog: Best Worst Company Party Ever
The Cyft holiday getaway was supposed to be a chance for this new team to forget about the daily grind.
Video: Medicine’s Next Great Breakthrough – TEDx Talk
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.
Video: Big Data and Machine Learning in Healthcare: How, Why, and When
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.