Where: NAS Building (NAS 120)
Formerly the Electronic Health Records Innovation Collaborative (EHRIC), the Digital Learning Collaborative (DLC) is an ad hoc convening activity under the auspices of the NAM Leadership Consortium for Value & Science-Driven Health Care. It was created to provide a venue for joint activities that can accelerate progress towards the digital infrastructure necessary for continuous improvement and innovation in health and health care. This includes fostering a new culture of collaborative action among participants in the learning process–e.g. patients, clinicians, researchers, and product developers.

Meeting Focus: Artificial Intelligence and the future of continuous health learning and improvement

Meeting objectives:
1. Aim: Consider the nature, elements, applications, state of play, and implications of
Artificial Intelligence (AI) and Machine Learning (ML) in health and health care, and
ways in the National Academy of Medicine might enhance collaborative progress.
2. AI/ML opportunities: Identify and discuss areas within health and health care for which
AL and ML have already shown promise. Consider implications for other applications.
3. Barriers: Identify and discuss the practical challenges to the advancement and application
of AI and ML, including those related to data integration, ethical/regulatory
implications, clinician acceptance, workforce development, and business case
considerations.

For more information, contact Urooj Fatima:
Phone: 202-334-2686
Email: UFatima@nas.edu