Paper: Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare

A groundbreaking paper published in JAMIA by Duke Health AI Evaluation & Governance Program’s Nicoleta Economou, PhD, the Duke Algorithm-Based Clinical Decision Support (ABCDS) Oversight Committee and other Duke University co-authors introduces an Implementation Guide for the Evaluation and Governance of Algorithmic Technologies in Healthcare, aiming to address the challenges of regulating rapidly advancing AI technologies. By streamlining oversight processes and promoting education within the Duke community, Duke researchers have developed a scalable framework supporting the trustworthy implementation of algorithmic technologies in patient care and healthcare operations. Grounded in key ethical and quality principles, the guide provides standardized evaluation criteria, fostering objective oversight at Duke. The results showcase improved safety, effectiveness, and equity in algorithms through evidence-backed principles.

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