Author(s) :

Dr. Padma Latha .

Volume/Issue :

Abstract :

Artificial Intelligence (AI) has emerged as a powerful tool for analyzing patient feedback to drive quality improvement in healthcare services. By leveraging advanced natural language processing and machine learning techniques, AI enables the efficient processing of large volumes of unstructured patient comments from diverse sources such as surveys, social media, and online reviews. This facilitates the extraction of meaningful insights related to patient satisfaction, common concerns, and areas needing improvement. AI-driven feedback analysis supports healthcare providers in making data-informed decisions, enhancing patient-centered care, and optimizing operational workflows. Despite challenges including data privacy, algorithmic bias, and integration into clinical settings, ongoing innovations in AI offer promising avenues for more transparent, equitable, and proactive healthcare quality management. This article reviews AI methodologies, practical applications, ethical considerations, and future trends in transforming patient feedback into actionable intelligence that can significantly improve healthcare delivery.

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