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AI in Health Care: From Strategies to Implementation

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Abstract

Health care solutions driven by artificial intelligence (AI) can offer more personalized, precise treatment options and better health outcomes, however, implementing AI in clinical settings can be complex due to cultural, economic and regulatory factors. Leaders must overcome challenges, including data quality and bias, algorithmic trust and skills deficits, while focusing on patient-centricity and treatment options. The eight-week online AI in Health Care: From Strategies to Implementation program from Harvard Medical School Executive Education will equip you with the knowledge and strategies to design, pitch and implement AI-driven solutions and bring about transformative organizational change. Through case studies, a capstone project and expert instruction from Harvard Medical School faculty, you will learn to frame a machine learning solution for a health care challenge, evaluate and select appropriate AI models and implement AI strategies from end to end.
Key Data

  • Publication Date
    29 July 2025
  • Primary Author
    Andrew Beam
  • Source
    Harvard University Gazette
  • Language
    English
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