WORLD USABILITY DAY
REGISTER
SPEAKERS
SCHEDULE
ABOUT
FAQ
Combiz Abdolrahimi
Senior Advisor
U.S. Federal Identity Forum (FedID)
Combiz is an attorney, technologist, and former regulator/policymaker with over 14 years of public and private sector experience helping U.S. Federal, State, and international governments, and health agencies.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Cupid Chan
Chairperson BI & AI, Board of Directors,
Technical Steering Committee
Linux Foundation ODPi
Cupid is a well-established technology professional and an adjunct professor at the University of Maryland.
Morning Plenary Session: Catch me if you can – How to Fight Fraud, Waste and Abuse using Machine Learning AND Machine TEACHING (by human). [link to session in schedule]
Steve Geller
VP Digital Services
eSimplicity
Steve has delivered many user-friendly digital product and customer experiences across industries as a product manager and leader.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Dr. Rachele Hendricks-Sturrup
Health Policy Counsel
The Future of Privacy Forum
Dr. Hendricks-Sturrup’s work involves using mixed methods research to explore and address ethical, legal, and social issues and implementation barriers at the forefront of health policy and innovation. Her research centers on generating best practices for the use and processing of health and genetic data.
Afternoon Plenary Session: Don't miss Federated Learning to Collect Mobile Patient-Reported Outcomes.[link to session in schedule]
Dr. Sara R. Jordan
Policy Counsel, Artificial Intelligence
The Future of Privacy Forum
Dr. Jordan's expertise includes privacy implications for data sharing, data and Artificial Intelligence (AI) review boards, and privacy analysis and ethical challenges of AI and Machine Learning (ML) technologies.
Afternoon Plenary Session: Federated Learning to Collect Mobile Patient-Reported Outcomes. [link to session in schedule]
Harlan Krumholz, MD, SM
Director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation
Harold H. Hines, Jr. Professor of Medicine
Yale University
[short]
Dr. Krumholz is a cardiologist and a leading expert in the science to evaluate and improve the quality and efficiency of care, reduce disparities, improve integrity in medical research, and avoid wasteful practices.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
[long]
Harlan Krumholz is a cardiologist, the Director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE), and the Harold H. Hines, Jr. Professor of Medicine at Yale University. He is a leading expert in the science to evaluate and improve care quality and efficiency, reduce disparities, improve integrity in medical research, and avoid wasteful practices.
His team has led successful national and international quality improvement initiatives, architected national quality measures and measurement strategies in partnership with CMS, promoted patient-centric approaches to research and care, created strategy and tools to enable open science and advance scientific integrity, and advanced regulatory science in partnership with the FDA.
Dr. Krumholz was a founding faculty co-Director of the Yale Center for Research Computing. He co-founded the Yale Open Data Access Project, promoting open science and distributing clinical trial data. He is a co-founder of medRxiv, a non-profit preprint server for the medical and health sciences. He was the founder of the American Heart Association Outcomes Research Council and their Annual Scientific Meeting for Quality of Care and Outcomes Research. He was the founding Editor of the American Heart Association journal, Circulation: Quality of Care and Outcomes. Dr. Krumholz is a co-founder of HugoHealth, a patient-centric platform to engage people as partners in research and clinical care, facilitating interoperability and the secure, permission-based movement of digital health data. He is co-founder of Refactor Health, an enterprise healthcare AI-augmented data management company. Dr. Krumholz has published more than 1000 scientific articles. He was named one of the top-cited scientists, with an h-index of almost 200. He received degrees from Yale College, Harvard Medical School, and the Harvard School of Public Health.