-
Interview: Delivering Palliative Care in NYC during the COVID-19 Pandemic with Dana Lustbader, MD
Dr. Dana Lustbader is board certified in critical care, internal, and palliative medicine and is a distinguished leader in the palliative care community. In this conversation, she shares her experiences delivering care during the COVID-19 pandemic in New York City. This interview is also available in podcast format.
-
Podcast: Using Data for Serious Illness Care
What opportunities (and threats) does machine learning bring to the palliative care space? Listen to Cyft’s VP of Clinical Improvement, Caitlin Brennan, as she explains how the combination of data and value based payment models can help improve care for people with serious illness.
-
Cyft: Turning Data into Better Surgical Care
See how Cyft is turning data into better surgical care. iPads capture 90 seconds of pre-op data, machine learning / AI-powered predictions support shared decision making, and follow up on patients reported outcome measures (PROMS) all come together to reduce unnecessary surgeries and improve outcomes. It's a self-contained, closed-loop system that can be up and running in little time and it's becoming the foundation for value-based care contract negotiations.
-
Podcast: Practical Advice for CMIOs about Artificial Intelligence
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? Listen to Leonard D'Avolio as he gives CMIOs practical advice about deploying AI solutions in your healthcare system.
-
AI: What Is It and How To Use It To Improve Care
Grand Rounds by Cyft CEO Dr. Leonard D'Avolio at Children's Mercy Kansas City.
-
Analytics Does Not Equal Improvement
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.
-
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.
-
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.
-
Webinar: How Medicaid Plans Are Using AI To Improve Care
Artificial Intelligence (AI) is getting a lot of attention these days - but how exactly can it help Medicaid Plans? Dr. Leonard D'Avolio, Assistant Professor at Harvard Medical School & the founder of Cyft has spent 10 years developing these technologies. Over the past four years, he has helped dozens Medicaid plans increase care management effectiveness, optimize reimbursement, and reduce member churn. Marty Waters, Vice President, Clinical Innovation & Thought Leadership at Beacon Health Options will also share his lessons learned from the front lines.
-
Podcast: Moving to Probabilistic Operating Models with Len D’Avolio
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.
-
Population Health Startup Taking On Health Plan Data
Len D'Avolio introduces us to his company Cyft, a startup that works with health plans to use data to predict and intervene with their members to keep them well. Listen in on his tips for making a business case about data sharing as well as his hopes for the future of the value-based care model.
-
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
A podcast series for Primary Care Physician leaders who are looking for fresh perspectives, new solutions and inspiration in their journey to advance value-based care.
-
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.
-
Improving Care Management Via Targeted Interventions, With Beacon Health Options – Webinar
Beacon Health Options, a leader in behavioral health management has been working with Cyft to improve their serious mental illness care management program. This partnership is enabling Beacon to make the most of their existing data and focus staff time and attention on the right members, at key points in treatment.
-
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. He shares real examples from his professional career and how these insights continue to guide Cyft. This panel took place at Faster Cures 2017, hosted in Boston.
-
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. This interview took place immediately after Dr. D'Avolio's keynote talk at HIMSS Big Data and Analytics Forum in San Francisco on May 15th, 2017.
-
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.
-
Podcast: Making Data Work for Quality Improvement
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.
InsightsBob Tavares2019-03-22T11:31:56-04:00