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Enhancing Patients' E-Health Engagement Through Artificial Intelligence
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Author(s): Abhijeet Singh Chauhan (Prestige Institute of Management and Research, Gwalior, India), Chanda Gulati (Prestige Institute of Management and Research, Gwalior, India), Garima Mathur (Prestige Institute of Management and Research, Gwalior, India)and Shilpa Sankpal (Narsee Monjee Institute of Management Studies, Mumbai, India)
Copyright: 2024
Pages: 19
Source title:
Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
Source Author(s)/Editor(s): Veena Grover (Noida Institute of Engineering and Technology, India), Balamurugan Balusamy (Manipal Academy of Higher Education, Dubai, UAE), Nallakaruppan M.K. (Vellore Institute of Technology, India), Vijay Anand (Vellore Institute of Technology, India)and Mariofanna Milanova (University of Arkansas at Little Rock, USA)
DOI: 10.4018/979-8-3693-5468-1.ch002
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Abstract
The burgeoning interest in AI within medical research has sparked significant attention, particularly its integration into healthcare services. Despite advancements in AI-assisted healthcare, its practical implementation and impact on patients have been somewhat constrained. The current study investigated the interplay between patients' knowledge of AI, their perceptions of its usefulness and ease of use, attitudes towards AI systems, and their engagement with e-health platforms. Though AI assisted in terms of Medicare facilities, the applicability from patients' perspective is limited. The present research aimed to measure the relationship between patients' AI knowledge, perceived usefulness, perceived ease of use, attitudes towards AI systems, and e-health engagement. The explanatory research method has been adopted for current research work. The research was conducted on 417 patients using AI-based healthcare apps. The study provides several theoretical and practical implications in terms of utilizing AI in the healthcare sector to ensure patients' well-being and health engagement.
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