Conventional cloud-based health monitoring solutions

The gap

Evidence profile

Sourced from the stated research gap and future work and synthesized of the source papers, classified as general, drawn from work published between 2019 and 2026, spanning 3 journals. Those papers have been cited 109 times in total.

Supporting evidence — 3 representative gaps

• Edge-Based Tinyml Framework for Intelligent Cardiac Drug Response Monitoring Using Embedded Hardware Software Co-Design (2026) · International Journal of Drug Delivery Technology · doi

  Conventional cloud-based health monitoring solutions suffer from limitations such as high energy usage, communication delays, and privacy concerns. Conventional monitoring approaches rely heavily on periodic clinical visits or cloud-based telemedicine systems, which introduce latency and increase energy consumption.

  generalstated research gap
  Keywords: conventional cloud-based health monitoring solutions suffer limitations high
• Smart integrated IoT healthcare system for cancer care (2019) · Wireless Networks · cited 109× · doi

  In this research, we have proposed the implementation of an IoT-enabled medical system for enhanced treatment, diagnosis, detection, and monitoring of cancer patients based on cancer care services and business analytics/cloud services, where the business analytics/cloud services constitute enablers for actionable insights; decision making; data transmission; and reporting. The healthcare solution has been accomplished through the use of WSNs and smart connected devices. This is because WSN plays an important role that allows a number of spatially distributed autonomous sensors to be linked to the network fabric based on geographical routing from source to destination, which facilitate data transmission/exchange. We have also delved into business analytics/cloud services that ensure the availability of patient data stream for actionable insights and evidence-based healthcare decisions. Also addressed are the operational and security challenges associated with the deployment of IoT based medical system due to the nature of the environment and the sensitivity of the patient information. This is necessary prior to the go-live phase of the IoT based solution implementation to avoid failure to the entire system and breach of patient data.

  generalfuture workevidence 5/5
  Keywords: based system cancer services proposed treatment business analytics cloud patient implementation medical diagnosis detection actionable
• IoT-Enabled Wireless Body Area Network (WBAN) for Real-Time Remote Health Monitoring (2024) · Cuestiones de Fisioterapia · doi

  Real-time remote health monitoring systems using WBANs and IoT have been demonstrated, but the embedded system architecture, middleware, and protocols required to handle heterogeneous sensor data streams, dynamic network topology changes, and latency-critical medical alerts in resource-constrained environments are not systematically characterized.

  generalsynthesizedevidence 5/5
  Keywords: real-time remote health monitoring systems using wbans iot

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