This paper explores the theoretical, algorithmic, and practical frameworks required to modernize the healthcare delivery ecosystem for infectious disease management utilizing Industry 4.0 paradigms. The authors design and validate a multi-tiered conceptual model of an intelligent medical information architecture. This system merges Artificial Intelligence (AI), Machine Learning (ML), the Internet of Medical Things (IoMT), and distributed Big Data analytical layers. Using modified deterministic epidemiological modeling, we demonstrate the high socioeconomic and clinical efficacy of automated patient triage and predictive routing. The deployment of this infrastructure dramatically curtails diagnostic latency, optimizes critical clinical resource utilization (such as ICU beds and mechanical ventilators), and facilitates a structural pivot from reactive response paradigms to adaptive, data-driven, and predictive management of biogenic risks.
Organization of Medical Care for Patients with Infectious Diseases Under the Digital Transformation of Healthcare and The Implementation of Intelligent Analytical Technologies
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References
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