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Digital Health & AI Action Collaborative

Promote digital tools and architecture innovation for seamless connectivity and learning, including accelerating the responsible development and application of AI and other emerging technologies for transformed health, health care, and biomedical science. 

About the Digital Health & AI Action Collaborative

As one of four action collaboratives under the National Academy of Medicine’s Leadership Consortium, the Digital Health and AI Action Collaborative (DHAC) works to advance the digital infrastructure necessary for continuous improvement and innovation in health, health care, and evidence development.

A seamless digital infrastructure for the protected capture, sharing, analysis, and use of health data and information is required for health system effectiveness, efficiency, equity and continuous learning and improvement. DHAC was established in 2008 for public and private organizations to work together in a trusted neutral venue on cooperative projects of priority to the common good. These projects range from technical reviews and public discussions of key issues to targeted analytics, modeling, and incubating the launch of new capacities. Examples of the issues engaged include artificial intelligence and machine learning, data ownership and control, and standardized multi-level core indicators.

While health technology emerges and improves at a rapid pace, strategic and equitable integration of new technology into the health system lags behind. The DHAC focuses on identifying, promoting, and encouraging interoperability of new technologies; guiding their entry into the health system as fully integrated digital platforms and tools for optimal health system performance; and promoting strategic sharing, linkage, and use of data produced or captured by these new technologies. 

Impact

Facilitating the practical application of AI and other digital tools for optimal health and health care outcomes, discovery, and continuous improvement.

  • Projects completed, under way, or under consideration by the DHAC include:
    Health Care Artificial Intelligence Code of Conduct: An initiative aimed at providing a guiding framework to ensure that AI algorithms and their application in health, health care, and biomedical science perform accurately, safely, reliably, and ethically in the service of better health for all.
  • Health Professions Forum on AI in Health and Medicine: A forum bringing together health professional leadership, technology developers, and forward-thinking health system leaders to engage in discussions surrounding the transformative landscape of large language models and generative AI in health and medicine within the context of a learning health system.
  • Generative AI in Health, Health Care, and Health Research: A two-day multi- stakeholder workshop in fall 2023 exploring the potential near- and medium-term applications of Generative AI approaches in multiple activities of the health system.

In-person attendance at meetings is by invitation only due to room capacity limitations.

Co-Chairs

President, Microsoft Research
Microsoft Corporation

Peter Lee is President, Microsoft Research, at Microsoft. He leads Microsoft Research across its nine laboratories around the world. He also oversees several incubation teams for new research-powered lines of business, the largest of which today is Microsoft’s growing healthcare and life sciences effort. Dr. Lee has extensive experience in managing fundamental research to commercial impact in a range of areas, spanning artificial intelligence, to quantum computing, to biotechnology, and more. Before joining Microsoft in 2010, he was at DARPA, where he established a new technology office that created operational capabilities in machine learning, data science, and computational social science. From 1987 to 2005 he was a Professor at Carnegie Mellon University, and from 2005 to 2008 the Head of the university’s computer science department. Today, in addition to his management responsibilities, Dr. Lee speaks and writes widely on technology trends and policies. He is a member of the National Academy of Medicine. He serves on the Boards of Directors of the Allen Institute for Artificial Intelligence, the Brotman Baty Institute for Precision Medicine, and the Kaiser Permanente Bernard J. Tyson School of Medicine. In public service, Dr. Lee was a commissioner on President Obama’s Commission on Enhancing National Cybersecurity and led several studies for both PCAST and the National Academies on the impact of federal research investments on economic growth. He has testified before both the US House Science and Technology Committee and the US Senate Commerce Committee.

Harvard University

Kenneth D. Mandl, MD, MPH is a Professor at Harvard Medical School (HMS) and the Director at Boston Children’s Hospital Computational Health Informatics Program. Recognized for research and teaching, Mandl received the Presidential Early Career Award for Scientists and Engineers and the Clifford A. Barger Award for top mentors at Harvard Medical School. He was advisor to two Directors of the CDC and chairs the Board of Scientific Counselors of the NIH’s National Library of Medicine. Dr. Mandl has been elected to multiple honor societies including the American Society for Clinical Investigation, Society for Pediatric Research, American College of Medical Informatics and American Pediatric Society. Mandl leads two postdoctoral training programs in clinical and informatics research and directs the Population Health Track of the new Masters Degree in Biomedical Informatics at HMS. Mandl is a faculty member in the HMS Center for Biomedical Informatics and in the Division of Health Sciences and Technology at Harvard and MIT. Through scholarship intersecting epidemiology and informatics, Mandl pioneered use of IT and big data for population health, discovery, patient engagement and care redesign. Mandl leads the transformative SMART Platforms initiative to design the “app store for health” and is principal investigator of the Scalable Collaborative Infrastructure for a Learning Health System across Boston hospitals and nationally. Recognized for research and teaching, Mandl received the Presidential Early Career Award for Scientists and Engineers and the Clifford A. Barger Award for top mentors at Harvard Medical School. He was advisor to two Directors of the CDC and chairs the Board of Scientific Counselors of the NIH’s National Library of Medicine. His clinical training and experience is in pediatrics and pediatric emergency medicine. Dr. Mandl has been elected to multiple honor societies including the American Society for Clinical Investigation, Society for Pediatric Research, American College of Medical Informatics and American Pediatric Society.

Collaborative Organizations​

Agency for Healthcare Research and Quality
Alliance for AI in Healthcare
Amazon
American Medical Informatics Association
Apple
Assistant Secretary for Technology Policy
Association of American Medical Colleges
AstraZenaca
Atrium Health
Blue Cross Blue Shield
CVS Health
Center for Medicare & Medicaid Innovation
Centers for Medicare & Medicaid Services
Cerner
Digital Medicine Society
Duke University
Epic
Families USA
Food and Drug Administration
Google
HIMSS
Harvard University
Intel
Kaiser Permanente
Komodo Health
MITRE
Mayo Clinic
Microsoft
National Institutes of Health
New York University
Northwestern University
OCHIN
Office of Science and Technology Policy
Philips
Samsung
U.S. Department of Veterans Affairs
UnitedHealth Group
University of California San Francisco
Vanderbilt University
Walmart
Yale University

Featured Activity

Health Care Artificial Intelligence Code of Conduct

The NAM Leadership Consortium’s new initiative aims to align & facilitate adoption of an AI Code of Conduct for health, medical care, and health research. Learn more about this multi-phased project to ensure responsible & equitable use of AI in health care.

Learn About the AICC

New Initiative

Clinicians’ Forum on AI in Health & Medicine

The Clinicians’ Forum for health professional societies and associations will engage regularly with AI product developers in the interest of enhanced mutual comfort levels and ongoing clinician-developer collaboration and accelerated bi-directional learning. 

Learn more about the new Forum

Publications

View All Publications
May 19, 2025Special Publication
An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action
Artificial IntelligenceEmerging Science and TechnologyLearning Health System
An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action
Apr 10, 2025Special Publication
Generative Artificial Intelligence in Health and Medicine: Opportunities and Responsibilities for Transformative Innovation
Artificial IntelligenceEmerging Science and TechnologyLearning Health System
Generative Artificial Intelligence in Health and Medicine: Opportunities and Responsibilities for Transformative Innovation
Sep 29, 2022Discussion Paper
Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis
Introduction Clinical diagnosis is essentially a data curation and analysis activity through which clinicians seek to gather and synthesize enough pieces of information about a patient to determine their condition. The art and science of clinical diagnosis dates to ancient times, with the earliest diagnostic practices relying primarily on clinical observations of a patient’s state, coupled with methods of palpation […]
Biomedical ResearchDigital HealthDrugs and DevicesEmerging Science and TechnologyWorkforce and Interprofessionalism
Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis
Jun 27, 2022Discussion Paper
The Promise of Digital Health: Then, Now, and the Future
Digital Health in the 21st Century Over the past several decades, the development and accelerated advancement of digital technology has prompted change across virtually all aspects of human endeavor. The positive and negative effects of these changes have been and will remain the focus of active speculation, including the implications for human health. Application of mechanical and digital recording and […]
Infectious Diseases
The Promise of Digital Health: Then, Now, and the Future
Nov 30, 2020Discussion Paper
Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic
The health care ecosystem is witnessing a surge of artificial intelligence (AI)-driven technologies and products that can potentially augment care delivery outside of hospital and clinic settings. These tools can be used to conduct remote monitoring, support telehealth visits, or target high-risk populations for more intensive health care interventions. With much of patients’ time spent outside of a hospital or […]
Biomedical ResearchCoverage and AccessDigital HealthDrugs and DevicesEmerging Science and TechnologyHealth Policy and RegulationQuality and Safety
Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic
Feb 11, 2015Discussion Paper
Innovation and Best Practices in Health Care Scheduling
Background Patient waits have been a long-standing concern in health care. Waits occur throughout the continuum of care and are built into and budgeted for within day-to-day operations. The status quo is changing, however, as patient experience becomes linked to provider payment, efficiency and service become differentiators between hospitals and providers, and patient expectations evolve. While excellent clinical care remains […]
Coverage and AccessHealth Policy and RegulationPatient and Consumer IssuesQuality and Safety
Innovation and Best Practices in Health Care Scheduling

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