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A new committee will draft best practices for doctors to incorporate artificial intelligence (AI) into medicine.
The National Academy of Medicine (NAM) has announced it will convene a group to develop an “Artificial Intelligence Code of Conduct” (AICC) that describes the role of AI in health, medicine and research. AI is “poised to have a major impact across the healthcare sector,” and physicians and other clinicians need a set of governance standards to develop and apply AI.
According to the NAM, “The goal is for the norms and national healthcare AI architecture to be widely adopted, translated for implementation by various stakeholders, and continuously improved to realize the great potential of AI.” … apparently …
“The engagement of these seasoned national leaders across the United States will help create a harmonized and widely adopted code of conduct for AI and develop a national architecture that promotes the fair and responsible use of AI,” said NAM Executive Officer and Sr. is essential for the Scholar Michael McGinnis, M.D., M.D., MP, said in a news release. “This joint effort will ensure that the application of health AI is grounded in the best science and is consistent with ethical principles and societal values that seek effectiveness, efficiency and fairness for all members of society. helps ensure that
The commission will add related work, including the Health AI Coalition (CHAI), according to the NAM. CHAI is a collaborative group of academic, medical, and technology researchers working with multiple federal agencies to research AI. In April, CHAI released a report on the evaluation and responsible use of AI technology, “Blueprint for Trusted AI Deployment Guidance and Assurance for Healthcare.”
NAM plans a three-year project beginning with an in-person Steering Committee meeting this summer. Subsequent quarterly webinars will be held, ending in Winter 2025.
The availability of the program ChatGPT, created by OpenAI, has sparked a great deal of public interest in artificial intelligence and how it impacts healthcare and other aspects of work and life.
The NAM committee will address issues of privacy, ethics, fairness, accountability, and applicability in at least two forms of AI.
NAM is intended to address Large Language Model (LLM) AI programs that generate answers to user queries. ChatGPT is his LLM made popular by its ability to generate human-like text answers to user questions.
NAM said the new AICC will also work on predictive AI programs and models to identify patients at risk of developing certain conditions and likely outcomes of treatment regimens.
Members of the committee are:
- Grace Cordovano, BCPA, Enlightening Results Founder
- Andrew Weinmann, M.D., Executive Vice President and Chief Medical Officer, Kaiser Permanente
- Jodi Daniel, Partner, Crowell & Moring Healthcare Group
- Wyatt Decker, MD, MBA, Optum Health CEO
- Peter Enby, M.D., M.D., Professor, Vanderbilt University Medical Center
- Dr. Gianrico Farzia, Mayo Clinic President and CEO
- Dr. Khadija Ferryman, anthropologist at Johns Hopkins University, Massachusetts
- By Dr. Sanjay Gupta, CNN Chief Medical Correspondent
- Eric Horvitz, M.D., Chief Scientific Officer, Microsoft
- Roy Jacobs, MBA, MM, CEO, Royal Phillips
- Kevin Johnson, MD, M.Sc., University of Pennsylvania
- Kedar Mate, M.D., President and CEO, Medical Improvement Institute
- Deven McGraw, Head of Data Management and Sharing, Invitae
- Bakul Patel, MBA, MSc, Senior Director, Global Digital Health Strategy and Regulation, Google
- Dr. Philip RO Payne, Associate Dean of the University of Washington School of Medicine
- Dr. Waldit Ravitsky, MSc, Hastings Center Bioethics Institute
- Dr. Suchi Saria, Director, Institute of Machine Learning, AI and Healthcare, Johns Hopkins University
- Eric Topol, M.D., Founder and Director of the Translational Institute, Scripps Research Institute
- Selwyn M. Vickers, M.D., FACS, President and CEO, Memorial Sloan Kettering Cancer Center
- Peter Lee, Corporate Vice President of Research and Incubation, Microsoft Research
- Kenneth D. Mandl, MD, MPH, Professor of Pediatrics and Biomedical Informatics, Harvard Medical School
