The American Medical Association (AMA) has passed a policy addressing Augmented Intelligence – and not Artificial Intelligence – that provides recommendations for stakeholders’ concerns. The AMA also has spurred a range of concerns about the novel challenges in the design, implementation, and use—especially how AI will be incorporated into the practice of medicine and affect patients.

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“As technology continues to advance and evolve, we have a unique opportunity to ensure that augmented intelligence is used to benefit patients, physicians, and the broad health care community,” said AMA Board Member Jesse M. Ehrenfeld, M.D. M.P.H. “Combining AI methods and systems with an irreplaceable human clinician can advance the delivery of care in a way that outperforms what either can do alone. But we must forthrightly address challenges in the design, evaluation and implementation as this technology is increasingly integrated into physicians’ delivery of care to patients.”

According to the new policy, the AMA will:

• Leverage its ongoing engagement in digital health and other priority areas for improving patient outcomes and physicians’ professional satisfaction to help set priorities for health care AI, reports AMA in a press release.
• Identify opportunities to integrate healthcare AI.
• Promote development of high-quality, thoughtfully designed, clinically validated health care AI that is user-centered, is transparent, conforms to leading standards, identifies bias and safeguards patients’ and others’ interests and preserves security of personal information.
• Encourage education to promote greater understanding of benefits and limitations of healthcare AI.
• Explore the legal implications of healthcare AI.

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“To reap the benefits for patient care, physicians must have the skills to work comfortably with health care AI. Just as working effectively with EHRs is now part of training for medical students and residents, educating physicians to work effectively with AI systems, or more narrowly, the AI algorithms that can inform clinical care decisions, will be critical to the future of AI in health care,” Ehrenfeld said.

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