Generative AI and Personalized Health Coaching: Empowering Medicare Beneficiaries

Vedamurthy Gejjegondanahalli Yogeshappa

Abstract: In this paper, the author discusses how generative AI can serve as an instrumental change in health coaching for Medicare beneficiaries. With the shift towards patient-centricity in modern healthcare, the value those AI-based solutions can bring to care processes rises with patient-specific recommendations, higher patient involvement, and more efficient and effective health outcomes. Thinking of generative AI systems in the context of health coaching programs means utilizing patient data, determining health risks and prescribing individual lifestyle changes. Such an approach is applicable especially to the clients under Medicare since the majority of them are more likely to have multiple chronic health issues requiring not only regular but also flexible care. The subject of the research is centered on how these AI tools can improve patients? control over their health, enhance quality, and reduce prejudice in healthcare. Some critical issues, such as data privacy, accuracy issues with the algorithm, and the ways to incorporate AI systems in the Medicare framework, are also explored. They imply that applying generative AI in the delivery of healthcare coaching to older adults may ultimately change the nature of health management in older adults because it proposes a wider solution to address the personal health needs of the aging population.

Keywords: Generative AI, Personalized health coaching, Medicare, Patient engagement, Data privacy, AI in healthcare