Nature Medicine and NEJM AI Comment on Artificial Intelligence in Health Care

We are happy to announce that Prof. Dr. Tobias Kowatsch has been invited and contributed to the Responsible AI for Social and Ethical Healthcare (RAISE) symposium in New England, US, October 2023, which was organized by the Havard Medical School. He represented the Institute for Implementation Science in Health Care at the University of Zurich, the School of Medicine at the University of St.Gallen, and the Department of Management, Technology, and Economics at ETH Zurich.

The outcome of this international symposium, To do no harm — and the most good — with AI in health care, was recently published in Nature Medicine (10.1038/s41591-024-02853-7) and the New England Journal of Medicine AI (10.1056/AIp2400036)

Abstract: Drawing from real-life scenarios and insights shared at the RAISE (Responsible AI for Social and Ethical Healthcare) conference, we highlight the critical need for AI in health care (AIH) to primarily benefit patients and address current shortcomings in health care systems such as medical errors and access disparities. The conference, embodying a sense of responsibility and urgency, emphasized that AIH should enhance patient care, support health care professionals, and be accessible and safe for all. The discussions revolved around immediate actions for health care leaders, such as adopting AI to augment clinical practice, establishing transparent financial models, and guiding optimal AI use. The importance of AI as a complementary tool rather than as a replacement in health care, the necessity of responsible patient data usage, and the potential of AIH in improving access to care were stressed. We underscore the financial aspects of AIH, advocating for models that align with care improvement. Specific and practical next steps and decisions are provided for each major issue. We conclude with a call for ongoing dialogue and ethical commitment from all stakeholders in AIH, reflecting on AI’s promise for health care advancement and the need for inclusivity and continuous evaluation in its implementation.

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