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I-CARES: advancing health diagnosis and medication through IoT

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Abstract

Internet of Things (IoT) is changing the way many sectors operate and special attention is paid to promoting healthy living by employing IoT based technologies. In this paper, a novel approach is developed with IoT prototype of Wireless Sensor Network and Cloud based system to provide continuous monitoring of a patient’s health status, ensuring timely scheduled and unscheduled medicinal dosage based on real-time patient vitals measurement, life-saving emergency prediction and communication. The designed integrated prototype consists of a wearable expandable health monitoring system, Smart Medicine Dispensing System, Cloud-based Big Data analytical diagnostic and Artificial Intelligence (AI) based reporting tool. A working prototype was developed and tested on few persons to ensure that it is working according to expected standards. Based on the initial experiments, the system fulfilled intended objectives including continuous health monitoring, scheduled timely medication, unscheduled emergency medication, life-saving emergency reporting, life-saving emergency prediction and early stage diagnosis. In addition, based on the analysis reports, physicians can diagnose/decide, view medication side effects, medication errors and prescribe medication accordingly. The proposed system exhibited the ability to achieve objectives it was designed using IoT to alleviate the pressure on hospitals due to crowdedness in hospital care and to reduce the healthcare service delays.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, University of Malaysia, Sarawak, Kota Samarahan, Malaysia

    Ghazanfar Latif

  2. College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia

    Ghazanfar Latif & Jaafar M. Alghazo

  3. School of Computer Science and Engineering, Amity University, Noida, India

    Achyut Shankar

  4. Department of EEE, SRM Institute of Science and Technology, Chennai, India

    V. Kalyanasundaram & C. S. Boopathi

  5. Department of Software Engineering, Superior University, Lahore, Pakistan

    M. Arfan Jaffar

Authors
  1. Ghazanfar Latif
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  2. Achyut Shankar
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  3. Jaafar M. Alghazo
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  4. V. Kalyanasundaram
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  5. C. S. Boopathi
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  6. M. Arfan Jaffar
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Correspondence to Ghazanfar Latif.

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Latif, G., Shankar, A., Alghazo, J.M. et al. I-CARES: advancing health diagnosis and medication through IoT. Wireless Netw 26, 2375–2389 (2020). https://doi.org/10.1007/s11276-019-02165-6

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  • DOI: https://doi.org/10.1007/s11276-019-02165-6

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