About
Dr. Leonard D’Avolio, Ph.D. has spent the last 15 years in government, academia, philanthropy, and industry working to make the learning healthcare system a reality. He’s the co-founder of Cyft, a performance improvement organization that uses data and AI to improve clinical care and operations. He is also an Assistant Professor at Brigham and Women’s Hospital and Harvard Medical School, an advisor to the Helmsley Charitable Trust Foundation and several healthcare startups, and a board member for Youth Development Organization.
He helped improve childbirth across 70 clinics in India working with Atul Gawande at Ariadne Labs, created the infrastructure for the world’s largest genomic medicine cohort, and embedded the first clinical trial within an electronic medical record system for the Dept. of Veterans Affairs. His work has been funded by the National Cancer Institute, Department of Veterans Affairs, Department of Defense, Bill and Melinda Gates Foundation, National Library of Medicine, the Helmsley Charitable Trust Foundation.
Latest Talks and Podcasts:
Thinking beyond fee for service analytics for value-based care, Nov 2018
Creating a New Healthcare - Counting What Counts, Jan 2018
National Academy of Medicine - Digital Learning Collaborative Summary, Nov 2017
NCQA Quality Talks - Making Healthcare Count, Oct 2017
Medicine's Next Great Breakthrough, TEDx Talk, November 2016
Faster Cures 2017 - Sharing "Scruffy" Data Highlights, Aug 2017
Moving Beyond the Hype of AI / Machine Learning - Interview following HIMSS Big Data & Analytics Forum, May 2017
Big Data and Machine Learning in Healthcare: How, When, and Why, HIMSS Big Data and Analytics Keynote, October 2016
Latest Writing:
- Notes from the National Academies of Science "Intelligence: Real and Artificial" Event
- Where Will AI Increase & Decrease Costs in Healthcare?
- Thoughts on JAMA’s “Adapting to Artificial Intelligence” by Jha and Topol
- 7 Ways We're Screwing Up AI in Healthcare
- Rethinking How to Measure "Risk" in Healthcare
- Risk Scores in Clinical Care - You're Not From Around Here Are You?
- The Dangers of Claims Based on Claims
- What Datat Scientists Need to Learn to Work in Healthcare
- Hey Machine Learning...if That's Even Your Real Name
- Dartmouth Researcher Detect Falls Without the Data Scientists
- When Life Gives You MACRA
- Why We Created Cyft
- Data Thinking in Healthcare
- Healthcare's Deadly Data Problem
- Healthcare Startups - Why Now and So What?
Latest Press:
- A realistic look at the hype of machine learning and AI,HealthcareIT News, March 7, 2018
- The mashup approach: How healthcare can save billions on AI and machine learning, HealthcareIT, Dec 13, 2017
- Convincing C-suite to invest in AI: A new mode of ROI, HealthcareIT, Oct 27, 2017
- Three Keys to Unlocking Data-Driven Health Care, Harvard Business Review, Nov 14th, 2017
- Experts on AI in healthcare: 'We need to be more realistic', Healthcare IT News, Oct 2, 2017
- Don’t let IBM’s blunders in health care blind you to the huge benefits of technology in medicine, CNBC, Sept 7, 2017
- Cyft and MedMinder Partner to Improve Care Management, PR Newswire, Sept 5, 2017
- Provider Coalition to Use Machine Learning for Type 1 Diabetes, HealthIT Analytics, June 13, 2017
- Children's Mercy, Joslin Diabetes Center to use machine learning for diabetes management, Becker's Health IT @ CIO Review, June 12, 2017
- Institutions to Apply AI Models to Type 1 Diabetes, Science and Enterprise, June 12, 2017
- Leading institutions to focus on improving Type 1 Diabetes care with machine learnning, PR Newswire, June 12, 2017
- With Machine Learning and AI in Healthcare, Can you speak the language?, Healthcare IT News, June 8th, 2017
- Healthcare Data is Only in its Terrible Twos, Healthcare IT News, May 15, 2017
- Frusturated by Big Data? Harvard professor says it's justified, Healthcare IT News, March 27, 2017
- The opporturnities and challenges of AI in Healthcare, VentureBeat, February 14, 2017
- Using Machine Learning to target behavioral health interventions, HealthIT Analytics, February 6, 2017
- Machine Learning in healthcare takes another step, HealthLeaders Media - November 29, 2016
- Tailoring healthcare analytics to a value-based future, Healthcare Informatics - November 14, 2016
- The unintended consequences of medicine’s digital age, MedPage Today - November 3, 2016
- Machine learning: Changing everything but healthcare, HealthcareIt News - October 25, 2016
- Big Data: Healthcare must move beyond the hype, HealthcareIt News - September 28, 2016
Recent and Upcoming Talks
- HLTH - "The Future of Healthcare", May 2018
- Mass Medical Society - "On AI and Machine Learning in Healthcare", May 2018
- Bridge to Pop Health East - "Turning Predictions into Results - Case Studies from Successful Integrations", May 2018
- HIMSS - Machine Learning & AI for Healthcare Track, Mar. 2018
- National Academies of Science President's Circle Dinner, "Intelligence: Real and Artificial" Apr 2018
- Health Datapalooza, "Which Buzzwords will still be buzzing" Mainstage panel discussion, Apr 2018
- National Academy of Medicine, Digital Learning Collaborative, Nov 2017
- Congress of Neurological Surgeons, 2017 Annual meeting, Nov 2017
- Healthare Finance Strategy, Nov 2017
- HIMSS Pop Health Forum, Keynote, Oct 2017
- NCQA - Quality Talks, Oct 2017
- New England Baptist Hospital, Research Day Keynote, July 2017
-
Faster Cures, Partnering for Cures Boston, "Sharing Scruffy Data" panel, June 2017
Healthcare: The Digital Disruption, District Hall, Boston, May 2017 - HIMSS Big Data & Healthcare Analytics Forum, Opening Keynote, May 2017
- Health Datapalooza, Mainstage panel discussion, Apr 2017
Company website: www.cyft.com
Google Scholar: https://scholar.google.com/citations?user=Y2MAsc4AAAAJ
Twitter: @ldavolio
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