Each Forum Roundtable strikes a balance between near-term COVID-related challenges and long-term impact on major issues in the post-pandemic world through professional facilitation and deep subject matter expertise. The groups will develop and widely disseminate recommendations that will make an impact on provider, payer and life sciences CEOs, policymakers and thought leaders collaborating for industry-wide change.
This Roundtable supports partnerships between payer, provider, life sciences and technology companies that support a new level of IT deployment in health care, including digital health, interoperability, new forms of data, integrated clinical trials and AI/ML, that can drive better and more equitable patient outcomes through modernization and implementation of consumer engagement, population health and care delivery, during and after COVID. Special attention will be paid to cybersecurity and privacy. The goal of this Roundtable is to set a new foundation for care that is longitudinal, fully integrated and patient centered while considering the impact of changes on physician burnout.
Amy Abernethy, MD, PhD, Principal Deputy Commissioner, FDA
Aneesh Chopra, President, CareJourney
Steve Klasko, MD, President & CEO, Thomas Jefferson University and Jefferson Health
Peter Neupert, Lead Director, Adaptive Biotechnologies Corp.; Former VP, Microsoft Health Solutions
Steve Udvarhelyi, MD, President & CEO, Blue Cross and Blue Shield of Louisiana
Nancy Howell Agee, Carilion Clinic
Lisa Alderson, Genome Medical
Michael Blum, UCSF
Bruce Bodaken, Blue Shield of California
Sam Brasch, Kaiser Permanente Ventures
David Braza, Premera Blue Cross
Niall Brennan, Health Care Cost Institute
Brandon Cady, AIM Specialty Health
Hernando Celada, ChenMed
Aneesh Chopra, CareJourney
Dale Cook, Learn to Live
Molly Coye, MD, AVIA
Christopher Del Vecchio, MVP Health Care
Ellen Duffield, Gateway Health Plan
Drew Fennell, ChristianaCare
Laura Forese, MD, NewYork-Presbyterian
Ryan Fukushima, Tempus
Patrick Gilligan, Zaffre Investments
Josh Goode, SCAN Health Plan
Lucio Gordan, MD, Florida Cancer Specialists
Jon Gordon, Commonwealth Care Alliance
Gary Guthart, PhD, Intuitive Surgical, Inc.
Amanda Hammel, Memorial Hermann
David Horrocks, Chesapeake Regional Information System for Patients
Jeff Huber, GRAIL
Charles Jaffe, HL7
Ricardo Johnson, CareFirst BlueCross BlueShield
Steve Klasko, MD, MD, Thomas Jefferson University Hospital
Chini Krishnan, GetInsured
Aaron Martin, Providence St. Joseph Health
Steve Martin, Paxton Advisors, LLC
James Mault, MD, BioIntelliSense
Steve Miff, PhD, Parkland Center for Clinical Innovation
Laura Mosqueda, MD, University of Southern California Keck School of Medicine
Karen Murphy, PhD, Geisinger Health System
Kirti Mutatkar, UnitedAg
Brian Nester, DO, Lehigh Valley Health Network
Peter Neupert, Adaptive Biotechnologies
David Ricks, Eli Lilly and Company
Rajeev Ronanki, Anthem, Inc.
Cris Ross, Mayo Clinic
Tom Schenk, MD, HealthNow New York, BlueCross BlueShield of Western New York
Mario Schlosser, Oscar Health
Sukanya Soderland, Blue Cross Blue Shield of Massachusetts
Tom Stanis, Story Health
Catherine Szyman, Edwards Lifesciences LLC
Robin Thomashauer, Council For Affordable Quality Healthcare, Inc.
Steve Udvarhelyi, MD, Blue Cross and Blue Shield of Louisiana
Michael Ugwueke, DHA, Methodist Healthcare (TN)
Richard Vance, Foundation Radiology Group
Andrea Walsh, HealthPartners
Scott Weingarten, MD, Stanson Health
Ron Williams, RW2 Enterprises
Patrick Yung, Independence Blue Cross
Work Groups are chartered by Roundtables to go deep on a key issue over a three-year period, and to make recommendations to Roundtable Fellows for pronouncements or actions that should be taken by the Roundtable, the Forum or by all CEOs. Work Groups are focused on:
There has been huge growth and large expectations for the use of patient data in health care, particularly as an adjuvant to clinical decision-making. From image interpretation to diagnosis, payer, provider and life science companies are forming partnerships with technology and data analytics companies to develop new tools and capabilities. However, payer, provider and life science companies face potential public backlash and regulatory scrutiny over data privacy concerns when engaging outside partners to analyze PHI and non-PHI data, and use of patient data in new ways may create health disparities and pose other ethical challenges for payer, provider and life science companies. While the FDA regulates AI tools that are used in diagnosis or treatment, the lack of guidelines for how AI should be developed, how patient data should be used, how AI is applied to various populations (e.g., across races or age groups) and how AI intellectual property is handled puts payer, provider and life science companies at risk. The goal of this Work Group is to articulate standards for responsible innovation to shape the partnerships between payer, provider and life science companies and developers of AI and other analytics and to guide the product development process of data tools for the clinical setting.
There are hundreds of thousands of health care apps that influence the health of people who are otherwise patients of health systems and members of health plans. These organizations have no way of knowing which apps people are using or whether they are appropriate for their health status. Likewise, many health systems and health plans have digital strategies that, while thoughtful, result in a piecemeal, arbitrary and fragmented set of apps that patients use. The goal of this Work Group is to identify the best practices for rationalizing patient/member app and digital health experience and to widely disseminate these practices.
Automation and Clinician Burnout
Although clinician burnout has been a longstanding feature of health care, and challenges around COVID-19 have accelerated these trends, the adoption of IT by clinicians has remained the largest ongoing factor in their ability to perform their jobs sustainably and productively. The goal of this Work Group is to reduce the contribution of technology to clinician burnout by identifying technology, workflow and organizational factors that drive burnout and evaluating technology strategies and best practices for reducing the role of these factors.