Watch Our Latest Webinar
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.
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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.
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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.
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Quality Talks 2017: 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.
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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.
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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.
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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.
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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.
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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.
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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.
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How Better Intervention Targeting Improves Care Management
An overview of how better intervention targeting improves the effectiveness of care management programs. The whitepaper starts by providing an overview of how traditional risk scores and total medical expense (TME) approaches struggle to target resources to those most likely to benefit. Then it explores how new approaches to modeling risk that use all available datasources can dramatically improve intervention effectiveness.Preparing Healthcare Analytics for Value-Based Care
A primer for healthcare professionals considering how to use their data most effectively to succeed in value-based care. It provides an overview of the current state of analytics, pros and cons of different methods, and describes the application of machine learning-based approaches in support of value-based healthcare.