@ShahidNShah
This paper proposes a “True Lifecycle Approach” (TLA) towards governing healthcare AI. The TLA governance model embeds core healthcare law principles—like informed consent, liability, and patient rights—throughout AI’s development, deployment, and use. Unlike narrow risk-based frameworks, the TLA seeks to ensure accountability and trust by aligning with foundational healthcare standards. Using Gulf Cooperation Council (GCC) countries as examples, the paper shows how integrating law and ethics across the entire AI lifecycle offers a more robust, patient-centered model of governance than existing approaches.
AI-powered healthcare tools can improve diagnostic accuracy and patient outcomes, presenting a transformative opportunity for U.S. healthcare systems to reduce errors and improve efficiency. Additionally, integrating AI with clinical workflows can support physicians in making data-driven decisions, enhancing the overall quality of care in the U.S.
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As health care demands rise and resources remain constrained, optimizing health care systems has become critical. Information-driven technologies, such as data analytics and artificial intelligence …
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