Emerging Stronger from COVID-19: Priorities for Health System Transformation

Medical Books

National Academy of Medicine

The Learning Health System Series

Administration & Medicine Economics

National Academies Press

The emergence of artificial intelligence (AI) in health care offers unprecedented opportunities to improve patient and clinical team outcomes, reduce costs, and impact population health. While there have been a number of promising examples of AI applications in health care, it is imperative to proceed with caution or risk the potential of user disillusionment, another AI winter, or further exacerbation of existing health- and technology-driven disparities. This Special Publication synthesizes current knowledge to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward. AI is poised to make transformative and disruptive advances in health care, but it is prudent to balance the need for thoughtful, inclusive health care AI that plans for and actively manages and reduces potential unintended consequences, while not yielding to marketing hype and profit motives.

Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril

Computers & Technology

Valuing America's Health: Aligning Financing to Reward Better Health and Well-Being (Learning Health System)

The State of the U.S. Biomedical and Health Research Enterprise: Strategies for Achieving a Healthier America

Health, Fitness & Dieting

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Books by The Learning Health System Series