Enhancing Medicare's Efficiency: The Role of AI in Streamlining Patient Management

Ginoop Chennekkattu Markose

Abstract: Adopting Artificial Intelligence (AI) in Medicare systems can introduce drastic transformations in managing patient factors; it can do it all at once, make it efficient and cost - effective, and enhance patient's state. Proposed is a discussion on the applicability of AI in Medicare in regard to patients, the organization, and information. The use of AI in prediction analysis, patient - tailored care, and non - healthcare processes is the solution to Medicare's future issue of serving an increasing number of aging populations and increasing health service complexity. Succinctly, the authors mention in the abstract some of the general areas they consider that AI is already deploying its capacities, such as the diagnostic and risk prognostication of patients' and resources' uses. It also gives the ethical factors, problems, and potential for implementing AI in Medicare. Such a study implies that AI can go a long way in helping Medicare systems to deliver higher efficiency. This, nevertheless, should only be done if the right plan has been developed and the right data has been well managed; besides, the AI systems used have been regularly audited.

Keywords: Artificial Intelligence, Medicare, Patient Management, Predictive Analytics, Healthcare Efficiency, Data Governance

How to Cite?: Ginoop Chennekkattu Markose, "Enhancing Medicare's Efficiency: The Role of AI in Streamlining Patient Management", Volume 13 Issue 9, September 2024, International Journal of Science and Research (IJSR), Pages: 910-920, https://www.ijsr.net/getabstract.php?paperid=SR24915061243, DOI: https://dx.doi.org/10.21275/SR24915061243