REAL-TIME PATIENT MONITORING IN SMART MEDICAL BEDS USING AI AND EMBEDDED SENSORS

Yuri Levchenko

doi:10.69635/mssl.2026.2.3.50

Authors

Yuri Levchenko M.Sc. in Social Informatics, Independent Researcher in Intelligent Healthcare Infrastructure and Clinical Monitoring Systems, United States Author https://orcid.org/0009-0006-5325-3273

DOI:

https://doi.org/10.69635/mssl.2026.2.3.50

Keywords:

Embedded Sensors, Real-Time Patient Monitoring, Smart Medical Beds, Artificial Intelligence

Abstract

Smart medical beds are emerging as an important platform for continuous patient monitoring in hospitals, rehabilitation units, and long-term care settings. By combining embedded sensors with artificial intelligence (AI), these systems can detect movement patterns, bed-exit events, physiological changes, and early indicators of clinical deterioration in real time. This article examines the technical architecture, clinical value, implementation challenges, and privacy considerations of AI-enabled sensor systems in smart medical beds. The review further argues that interoperability, privacy-preserving design, and clinically reliable alert systems are essential for safe and scalable deployment in healthcare environments. The paper also discusses how AI-enabled infrastructure systems may contribute to improved patient safety, reduced workload on healthcare personnel, and modernization of healthcare delivery systems.

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