Generative AI and Large Language Models (LLMs) for Personalized and Explainable Healthcare

Abstract

Generative AI is reshaping how healthcare teams collaborate, communicate, and make clinical decisions. From large language models that summarize patient histories to diagnostic tools that simulate treatment options, these technologies are streamlining workflows and fostering more coordinated care. For instance, AI can help reduce the cognitive load on clinicians by automating routine documentation and offering evidence-based suggestions. Yet, the integration of AI into clinical settings also introduces challenges—such as ensuring fairness in algorithmic outputs, avoiding blind trust in machine-generated advice, and preserving human judgment at the heart of patient care. This chapter explores these dynamics, focusing on how AI affects team interactions, leadership responsibilities, and decision-making structures. It argues for robust governance, inclusive access, and transparent design to ensure AI enhances rather than undermines collaborative healthcare.

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