本文探讨了人工智能（AI）如何帮助生命科学组织超越碎片化的支持模式，实现更全面和个性化的患者参与。作者提出了三种构建患者支持计划的独特方法，并讨论了AI驱动的工具如何在整个治疗过程中定制干预措施。
Today’s guest post comes from Stacey Little, Chief Growth Officer at AssistRx.
In this guest post, Stacey explores how artificial intelligence (AI) is helping life sciences organizations move beyond fragmented support models to deliver more integrated and personalized patient engagement. She outlines three distinct approaches to structuring patient support programs and discusses how AI-driven tools—such as AllazoHealth—can help tailor interventions across the entire treatment journey.
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