A Strategic Approach to Implementing AI in Healthcare

Huron Consulting outlines key factors for evaluating and implementing artificial intelligence in healthcare, with a focus on selecting use cases that align with both strategic priorities and operational feasibility. As generative AI and automation technologies become more sophisticated, healthcare organizations are exploring how to apply them across administrative

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functions and clinical workflows. Huron emphasizes the importance of assessing each opportunity by asking two fundamental questions: whether AI is necessary for a given problem, and whether the organization has the resources and infrastructure to support it. Additional considerations include the organization’s risk profile, desired outcomes, and data readiness.

The report identifies five core areas where AI can deliver measurable value: reducing costs, driving revenue growth, transforming care delivery, improving consumer experience, and addressing clinician burnout. Use cases range from automating appeals processes and optimizing scheduling through AI-powered chatbots to enhancing remote patient monitoring and synthesizing care insights for faster decision-making. Generative AI is also being applied to marketing and communications tasks, streamlining the creation of patient-facing content. As the pace of AI development accelerates, Huron stresses the need for a clearly defined enterprise strategy and an operating model that supports responsible and outcome-driven adoption.

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