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Navigating “AI-Powered Immersiveness” in Healthcare Delivery: A Case of Indian Doctors
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Navigating “AI-Powered Immersiveness” in Healthcare Delivery: A Case of Indian Doctors
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Navigating “AI-Powered Immersiveness” in Healthcare Delivery: A Case of Indian Doctors
Navigating “AI-Powered Immersiveness” in Healthcare Delivery: A Case of Indian Doctors
Journal Article

Navigating “AI-Powered Immersiveness” in Healthcare Delivery: A Case of Indian Doctors

2025
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Overview
AI-powered immersive technologies integrate into physical and digital workspaces, disrupting traditional professional roles. We address two research questions. First, what factors specific to immersive technology usage impact healthcare professionals' perceptions, leading to immersive technology adoption? Moreover, how does this adoption impact the professional identity of healthcare professionals? Through a qualitative study of 84 doctors, our study identifies key factors related to ICT, individuals, and organizations related to AI-powered immersive technologies that influence adoption. ICT Factors include enhanced surgical planning, real-time data integration, training, and ethical and privacy concerns. Individual factors include the perception of self and social presence within virtual environments. Organizational Factors comprise how institutions design collaborative ecosystems, define accountability structures, and promote skill expansion. Based on adopting these technologies, we highlight four identities of adopters: Risk-Averse Adopters, Pragmatic Adopters, Informed Enthusiasts, and Technology Champions. Our study contributes to Immersive technology adoption literature by highlighting how different factors impact perceptions that drive doctors' adoption of these technologies. We also contribute to the literature on IS and Professional identity by highlighting that these technologies redefine professional identities. Our study offers practical insights for designing targeted training programs, inclusive adoption strategies, accountability frameworks, and data governance policies.