ASSESSING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HEALTHCARE RESOURCE ALLOCATION, MANAGEMENT EFFICIENCY AND ECONOMIC SUSTAINABILITY

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, offering significant potential to improve operational efficiency, optimize resource utilization and enhance economic sustainability. This study aims to examine the impact of AI on healthcare resource allocation, management efficiency and economic sustainability using a quantitative research approach. Data were collected from 120 healthcare professionals through a structured questionnaire based on a 5-point Likert scale. Statistical analysis, including descriptive statistics, reliability testing, correlation and regression analysis, was conducted to evaluate the relationships among variables. The findings reveal that AI has a positive and statistically significant impact on all three dimensions. Specifically, AI was found to have the strongest influence on management efficiency, followed by resource allocation and economic sustainability. The results indicate that AI-driven systems enhance decision-making processes, improve allocation of healthcare resources and contribute to cost reduction and financial sustainability. Despite these benefits, challenges such as high implementation costs, limited technical expertise and data privacy concerns may hinder adoption. The study concludes that integrating AI into healthcare systems is essential for improving efficiency and achieving sustainable healthcare management. The findings provide valuable insights for healthcare administrators and policymakers aiming to leverage AI technologies for improved system performance and long-term sustainability.