Date of Defense

11-4-2025 9:30 AM

Location

E1-1023

Document Type

Thesis Defense

Degree Name

Master of Science in Information Security

College

CIT

Department

Information Systems and Security

First Advisor

Dr. Amir Ahmed

Keywords

AI in healthcare, chatbot transformation, UAE healthcare innovation, digital health readiness, patient engagement, system usability, implementation framework.

Abstract

This research investigates the readiness of UAE healthcare institutions to transition from rule-based chatbot systems to AI-powered alternatives, focusing on a rehabilitation hospital in Abu Dhabi. Through a structured quantitative study involving 96 healthcare professionals, the research explores technology acceptance, service quality, usability, and implementation readiness. Findings highlight strong correlations between perceived usefulness and behavioral intention to adopt AI, emphasizing the importance of integration, staff training, and service reliability. The study proposes a practical implementation framework for healthcare transformation, offering insights for institutions seeking to improve operational efficiency through AI integration.

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Apr 11th, 9:30 AM

ASSESSING READINESS FOR TRANSFORMATION FROM RULE-BASED TO AI-BASED CHATBOT IN UAE HEALTHCARE: A CASE STUDY OF A REHABILITATION HOSPITAL IN ABU DHABI

E1-1023

This research investigates the readiness of UAE healthcare institutions to transition from rule-based chatbot systems to AI-powered alternatives, focusing on a rehabilitation hospital in Abu Dhabi. Through a structured quantitative study involving 96 healthcare professionals, the research explores technology acceptance, service quality, usability, and implementation readiness. Findings highlight strong correlations between perceived usefulness and behavioral intention to adopt AI, emphasizing the importance of integration, staff training, and service reliability. The study proposes a practical implementation framework for healthcare transformation, offering insights for institutions seeking to improve operational efficiency through AI integration.