Recommendations for Safe Implementation of AI in Real World Clinical Setting: Study Finds
Advertisement
As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an article co-written by Dean Sittig, PhD, professor with McWilliams School of Biomedical Informatics at UTHealth Houston and Hardeep Singh, MD, MPH, professor at Baylor College of Medicine.
The guidance was published in the Journal of the American Medical Association.
Drawing from expert opinion, literature reviews, and experiences with health IT use and safety assessment, Sittig and Singh developed a pragmatic approach for health care organizations and clinicians to monitor and manage AI systems.
Some of the recommended actions for health care organizations are listed below:
· Review guidance published in high-quality, peer-reviewed journals and conduct rigorous real-world testing to confirm AI’s safety and effectiveness.
· Establish dedicated committees with multidisciplinary experts to oversee AI system deployment and ensure adherence to safety protocols. Committee members should meet regularly to review requests for new AI applications, consider their safety and effectiveness before implementing them, and develop processes to monitor their performance.
· Formally train clinicians on AI usage and risk, but also be transparent with patients when AI is part of their care decisions. This transparency is key to building trust and confidence in AI’s role in health care.
· Maintain a detailed inventory of AI systems and regularly evaluate them to identify and mitigate any risks.
· Develop procedures to turn off AI systems should they malfunction, ensuring smooth transitions back to manual processes.
“Implementing AI into clinical settings should be a shared responsibility among health care providers, AI developers, and electronic health record vendors to protect patients,” Sittig said. “By working together, we can build trust and promote the safe adoption of AI in health care.”
Reference: Sittig DF, Singh H. Recommendations to Ensure Safety of AI in Real-World Clinical Care. JAMA. Published online November 27, 2024. doi:10.1001/jama.2024.24598
Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .
Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.
NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.