This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings.
We propose a set of guidelines emphasizing fairness, robustness, privacy, safety, transparency, explainability, accountability, and benefit. Through a multidisciplinary collaboration, we developed and operationalized these guidelines within a healthcare system, highlighting a case study on ambient documentation to demonstrate the practical application and challenges of implementing generative AI in clinical environments.
Our proposed framework ensures continuous monitoring, evaluation, and adaptation of AI technologies, addressing ethical considerations and enhancing patient care.
Our report offers a starting point for healthcare institutions to develop and refine their processes for the responsible integration of AI, advocating for a dynamic, responsive approach to AI deployment in healthcare settings. To further this endeavor, our study underscores the importance of fostering cross-institutional and public-private partnerships.
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