International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Enhancing Patient Communication and Health Literacy through AI-Enabled Services: A Pathway to Improved Patient Experience

Author(s) Dr. Chirag Vijaybhai Parmar
Country India
Abstract This research explores the impact of AI-driven services on improving the patient experience, emphasizing the quality of communication and health literacy. Employing a cross-sectional, quantitative method, information was gathered from 200 individuals in the Delhi/NCR area who had engaged with AI-driven healthcare technologies such as chatbots, virtual assistants, and mobile apps. The results indicate a statistically significant positive relationship between the utilization of AI-powered services and enhanced communication between patients and healthcare professionals (r = 0.536, p < 0.01). Additionally, the research noted a moderate but significant relationship between AI-driven instructional resources and enhanced patient comprehension of health information (r = 0.376, p < 0.01). These findings indicate that AI can enhance patient empowerment through timely, consistent, and easily accessible communication and educational materials. The research highlights the importance of combining AI tools with human-led assistance to enhance their effectiveness, particularly in boosting health literacy. The study finds that AI acts as an important addition to conventional care, improving patient satisfaction and aiding patient-focused healthcare delivery, especially in advancing digital healthcare systems.
Keywords Artificial Intelligence (AI), Patient Communication, Health Literacy, AI-enabled Healthcare, Virtual Health Assistants, Patient Experience, Healthcare Technology, Digital Health
Field Physical Science
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-12
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.55765
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E-ISSN 2582-2160
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