Published Paper Details:

The increasing adoption of Internet of Things (IoT), wearable sensors, and telemedicine platforms has transformed healthcare data generation from batch-oriented records to continuous real-time streams. While Big Data Analytics (BDA) frameworks have demonstrated value in retrospective healthcare analysis, their batch-centric design limits timely decision-making, particularly in developing healthcare systems such as India. In parallel, large-scale real-time data collection intensifies ethical, privacy, and governance challenges related to consent, secondary data use, and regulatory compliance. This paper investigates the convergence of real-time Big Data Analytics and ethical data governance within the Indian digital healthcare ecosystem. A layered real-time analytics architecture is proposed to support streaming healthcare data from IoT devices and remote monitoring systems while embedding governance mechanisms aligned with Indian regulatory initiatives. The study highlights gaps in existing batch-based analytics models, analyzes ethical risks across healthcare datafication layers, and proposes governance controls to ensure responsible data usage. The findings demonstrate that integrating real-time analytics with ethical-by-design governance is essential for scalable, trustworthy, and patient-centric digital healthcare in India.