This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, 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. This work contributes to the discourse on responsible AI use in healthcare, offering a blueprint for institutions to navigate the complexities of AI integration responsibly and effectively, thus promoting better, more equitable healthcare outcomes.

本报告提出了一个全面的案例研究，用于将人工智能 （AI） 负责任地整合到医疗保健环境中。认识到 AI 技术的快速发展及其改变医疗保健服务的潜力，我们提出了一套强调公平性、稳健性、隐私性、安全性、透明度、可解释性、问责制和益处的指南。通过多学科合作，我们在医疗保健系统内制定并实施了这些指南，重点介绍了环境文档的案例研究，以展示在临床环境中实施生成式 AI 的实际应用和挑战。我们提出的框架确保持续监测、评估和调整 AI 技术，解决道德考虑并加强患者护理。这项工作有助于关于在医疗保健中负责任地使用 AI 的讨论，为机构负责任和有效地驾驭 AI 集成的复杂性提供了蓝图，从而促进更好、更公平的医疗保健结果。