Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kuwar, Vishakha; Kumari, Puja; Upreti, Kamal; Gupta, Komal; Shankar, Uma; Bhide, Neeta Title A name given to the resource Chatbots in health care: AI-based personalization and EHR integration in patientdoctor communication Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction;pp.229-242 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-41660-6.00018-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-41660-6.00018-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023938726?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023938726?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kuwar V., Centre for Online Learning, Dr. D Y Patil Vidyapeeth, Maharashtra, Pune, India; Kumari P., Department of Psychology and Mental Health, Gautam Buddha University, Uttar Pradesh, Greater Noida, India; Upreti K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Gupta K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Shankar U., Ramcharan School of Leadership, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Bhide N., MGM University, Maharashtra, Aurangabad, India Description An account of the resource The artificial intelligence (AI)-driven chatbots in healthcare integration revolutionizes patientprovider interactions for real-time support, communication streamline, and patient engagement. These chatbots connected to natural language processing (NLP) and machine learning provide medical queries resolution, chronic condition management, and scheduling appointments. Despite the advancements, there are gaps remain in the chatbot personalization interactions and Electronic Health Records (EHR) seamless integration. Personalization is crucial for satisfied patient and medical advice. EHR integration enables context-aware responses, error reduction, and better healthcare outcomes. This study effectiveness fosters the evaluation of AI-driven chatbots in healthcare communication personalization and potential benefits examination and EHR integration challenges. Using a mixed-methods approach includes sentiment analysis for patient satisfaction sentiments understanding, thematic analysis for key themes and findings from Patient Message, regression analysis for personalization, EHR integration, and patient outcomes understanding, and structural equation modeling (SEM) highlights the personalization and EHR integration impact on patient satisfaction, engagement, and trust in chatbot technology. The findings reinforcing the healthcare providers need to adopt AI-driven solutions and personalized communication priorities and seamless data integration for patient experience improvement and overall healthcare efficiency. 2026 Elsevier Inc. All rights reserved. Subject The topic of the resource AI-driven chatbots; Digital health; Electronic health records; Healthcare communication; Patient satisfaction; Personalization Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-044341660-6; 978-044341661-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online