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<p>Primary care is the cornerstone of every patient’s health journey. Given its central role in the delivery of medical care, primary care is crucial in the integration of artificial intelligence (AI) into healthcare. Generative AI has the potential to augment primary care workflows to achieve the quintuple aim. In this paper, we use a hypothetical case to outline a medical care experience for both a patient and provider. We highlight five common problems faced by primary care providers (PCPs): data overload, rapidly changing evidence, barriers to adequate patient education, clinical documentation burden, and increase in patient electronic messages. We propose a generative AI foundation model that can transform the primary care journey through chart summarization, clinical decision support, personalized patient instructions, clinical documentation, and asynchronous care delivery.</p>

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Transforming the Primary Care Journey with Generative AI: A Foundation Model to Boost Efficiency, Quality, and Engagement

  • 期刊论文

  • 发表日期：

    2025年8月13日

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  • Betsy Yang,
  • Julie J. Lee,
  • Timothy Tsai,
  • Amelia L. Sattler,
  • Shreya Shah,
  • Margaret A. Smith,
  • Steven Lin

摘要

Primary care is the cornerstone of every patient’s health journey. Given its central role in the delivery of medical care, primary care is crucial in the integration of artificial intelligence (AI) into healthcare. Generative AI has the potential to augment primary care workflows to achieve the quintuple aim. In this paper, we use a hypothetical case to outline a medical care experience for both a patient and provider. We highlight five common problems faced by primary care providers (PCPs): data overload, rapidly changing evidence, barriers to adequate patient education, clinical documentation burden, and increase in patient electronic messages. We propose a generative AI foundation model that can transform the primary care journey through chart summarization, clinical decision support, personalized patient instructions, clinical documentation, and asynchronous care delivery.