Journal of Advances in Developmental Research

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Designing Real-Time Data Pipelines for Smart Healthcare Factories

Author(s) Suchitra Venkatesan
Country United States
Abstract Smart healthcare factories—facilities that combine pharmaceutical or medical-device manufacturing with pervasive sensing, automation, and analytics—generate continuous, high-velocity data streams from process sensors, quality-inspection systems, environmental monitors, and enterprise resource-planning platforms. Coordinating these heterogeneous streams into a coherent, low-latency information fabric is a non-trivial systems-engineering challenge that directly affects product quality, regulatory compliance, and patient safety. This paper presents an architectural framework for real-time data pipelines in smart healthcare factories. It examines the domain-specific requirements imposed by Good Manufacturing Practice (GMP) regulations, discusses candidate streaming technologies and their trade-offs, proposes a layered reference architecture, and identifies open research problems. The paper draws on publicly available standards (IEC 62443, ISA-95, ICH Q10, FDA 21 CFR Part 11) and peer-reviewed literature to ground each design decision.
Keywords data pipeline, stream processing, smart factory, healthcare manufacturing, Industrial IoT, real-time analytics, GMP compliance, edge computing, data governance.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-04-16
Cite This Designing Real-Time Data Pipelines for Smart Healthcare Factories - Suchitra Venkatesan - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1855
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1855
Short DOI https://doi.org/hb27p9
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