Enhancing Healthcare Delivery through AGI: Strategies for Optimizing Provider Network Performance
Abstract: In response to the critical shortages of healthcare providers and the challenges of administrative inefficiencies within the U.S. healthcare system, this paper explores the transformative potential of Artificial General Intelligence AGI in optimizing healthcare provider network performance. By leveraging AGIs capabilities in predictive analytics, administrative task automation, and enhanced decision support, we propose a framework for improving access to care, reducing operational costs, and enhancing patient outcomes. This comprehensive review highlights AGIs role in addressing urgent healthcare challenges, particularly in underserved areas, and underscores the need for innovative solutions to ensure quality healthcare is accessible to all Americans.
Keywords: Artificial General Intelligence, Healthcare Optimization, Network Management, Administrative Efficiency, Patient Outcomes
How to Cite?: Bharath Srinivasaiah, "Enhancing Healthcare Delivery through AGI: Strategies for Optimizing Provider Network Performance", Volume 13 Issue 3, March 2024, International Journal of Science and Research (IJSR), Pages: 590-595, https://www.ijsr.net/getabstract.php?paperid=SR24308051804, DOI: https://dx.doi.org/10.21275/SR24308051804