Integrating Artificial Intelligence in Healthcare for Improved Decision - Making, Patient Outcomes, and Operational Efficiency

D Manjula, G Uma, T Pradeep, R Nandhinidevi

Abstract: Artificial Intelligence (AI) is revolutionizing the healthcare industry by enabling enhanced decision - making, improving patient outcomes, and optimizing operational efficiency. This integration leverages advanced technologies such as machine learning, natural language processing, and computer vision to address challenges in diagnosis, treatment planning, and administrative workflows. AI systems assist clinicians in analysing complex medical data, predicting disease progression, and personalizing care strategies, thereby improving precision and reducing human error. Additionally, AI - driven automation enhances resource management and streamlines repetitive tasks, contributing to cost efficiency. Despite its transformative potential, challenges such as ethical concerns, data privacy, and implementation barriers must be addressed to ensure equitable access and widespread adoption. This paper explores the multifaceted applications of AI in healthcare, providing a comprehensive overview of its benefits, limitations, and prospects in shaping a patient - centric medical landscape.

Keywords: Artificial Intelligence, Healthcare, Machine Learning, Patient Outcomes, Decision - Making, Operational Efficiency, Medical Innovation, Data Privacy, Diagnosis, Treatment Planning, AI Integration, Healthcare Automation, Predictive Analytics, Personalized Medicine, Clinical Applications

How to Cite?: D Manjula, G Uma, T Pradeep, R Nandhinidevi, "Integrating Artificial Intelligence in Healthcare for Improved Decision - Making, Patient Outcomes, and Operational Efficiency", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 346-350, https://www.ijsr.net/getabstract.php?paperid=SR25201114043, DOI: https://dx.doi.org/10.21275/SR25201114043