Recommendations for Safe Implementation of AI in Real World Clinical Setting: Study Finds
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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.
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