AI-Blockchain Integration for Remote Patient Monitoring and Alerts
DOI:
https://doi.org/10.63345/Keywords:
Remote Patient Monitoring, Internet of Medical Things, Federated Learning, HL7 FHIR, Hyperledger Fabric, Smart Contracts, Consent Management, GDPR/HIPAA/DPDPAbstract
Remote Patient Monitoring (RPM) has matured from episodic teleconsultations to continuous, sensor-driven care supported by edge analytics and cloud services. Yet three friction points persist: (i) privacy and trust in data handling, (ii) interoperability across fragmented health information systems, and (iii) timely, auditable alerting that can be verified across organizations. This manuscript proposes a reference architecture that fuses Artificial Intelligence (AI) for streaming physiological inference with permissioned blockchain for tamper-evident logging, consent management, and cross-institutional data exchange.
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