Authors : Sirazoom Munira; AKM Matiur Rahman; Akim M. Rahman

Volume/Issue : Volume 11 - 2026, Issue 9 - September

Google Scholar : https://tinyurl.com/4xvmfxf8

DOI : https://doi.org/10.38124/ijisrt/26sep918

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial Intelligence (AI) has become a game changer in the healthcare industry, with profound effects on operational effectiveness and service quality. This empirical study examines how AI adoption affects the provision of healthcare services, concentrating on two main aspects: improving operational efficiency (resource allocation, patient waiting times, administrative workflows, and cost reduction) and improving service quality (diagnostic accuracy, patient satisfaction, and care personalization). The study used a standardized survey instrument that was given to [N] administrators and healthcare workers from various healthcare facilities, utilizing a quantitative research approach. To find statistically significant correlations between AI adoption levels and key performance measures, data were analyzed using multiple regression, correlation analysis, and descriptive statistics.

Keywords : Artificial Intelligence (AI), Service Quality, Operational Efficiency, Healthcare Technology Adoption.

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