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@article{192943,
        author = {Nikhil Naik and Parth Rane and Sonu Mallah and Arpit Yadav},
        title = {IoT Based Health Monitoring System using AWS Cloud},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3178-3183},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192943},
        abstract = {Remote patient monitoring systems generate continuous streams of physiological data, which can create overload for healthcare providers if presented as raw measurements. This paper proposes a cloud-based IoT health monitoring system that performs automated patient triage using AWS services. Patient vitals such as heart rate and body temperature are transmitted from IoT devices to AWS IoT Core and processed using a serverless AWS Lambda function. The system applies threshold- based priority logic to classify patients into High, Medium, or Normal risk categories. Processed and prioritized data is stored in DynamoDB and presented through a doctor-centric dashboard that highlights only actionable cases. The proposed architecture is scalable, secure, and cost-effective, and reduces cognitive load on clinicians by converting raw telemetry into prioritized clinical insights. This paper presents a scalable, cloud-native IoT health monitoring and patient triage system built on Amazon Web Services (AWS)that transforms raw telemetry into priority-based actionable insights. In the proposed architecture, patient vitals such as heart rate and body temperature are generated by IoT devices or simulators and securely transmitted to AWS IoT Core using MQTT over TLS.},
        keywords = {IoT, Health Monitoring, AWS Cloud, Serverless, Patient Triage, Lambda, DynamoDB},
        month = {February},
        }