Vol. 4 No. 2 (2024): Journal of Machine Learning for Healthcare Decision Support
Articles

IoT-enabled Remote Patient Monitoring for Chronic Disease Management: Exploring the use of IoT devices for remote monitoring of patients with chronic diseases

Dr. Chen Wang
Associate Professor of Biomedical Engineering, National Taiwan University of Science and Technology

Published 16-09-2024

Keywords

  • Chronic disease management,
  • Privacy

How to Cite

[1]
Dr. Chen Wang, “IoT-enabled Remote Patient Monitoring for Chronic Disease Management: Exploring the use of IoT devices for remote monitoring of patients with chronic diseases”, Journal of Machine Learning for Healthcare Decision Support, vol. 4, no. 2, pp. 1–11, Sep. 2024, Accessed: Jan. 22, 2025. [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/27

Abstract

The rise of chronic diseases poses a significant challenge to healthcare systems globally. These long-term conditions, such as diabetes, heart disease, and chronic obstructive pulmonary disease (COPD), require ongoing monitoring and management to prevent complications and improve patient well-being. Traditional healthcare models often rely on in-clinic visits, which can be inconvenient for patients and limit the amount of data collected. However, the emergence of the Internet of Things (IoT) technology offers a transformative approach to chronic disease management.

IoT-enabled remote patient monitoring (RPM) systems leverage a network of interconnected devices to collect real-time health data from patients in their homes. These devices can include wearable sensors that monitor vital signs like blood pressure, heart rate, and oxygen saturation. Smart devices can track medication adherence, weight fluctuations, and blood sugar levels. Additionally, connected medical equipment like glucometers and blood pressure cuffs can seamlessly transmit data to a central platform.

This continuous stream of data empowers healthcare providers with a more comprehensive picture of a patient's health status. By remotely monitoring trends and fluctuations in these parameters, clinicians can identify potential problems early on and intervene proactively. For example, real-time blood sugar data from a diabetic patient allows for adjustments to medication or diet before a serious episode occurs. Early detection and intervention can significantly improve patient outcomes and reduce the risk of hospitalization or emergency room visits.

IoT-enabled RPM also fosters patient engagement in their own healthcare. By providing access to their health data through user-friendly mobile apps, patients can become more informed participants in managing their chronic conditions. They can track their progress, identify patterns, and adjust their lifestyle choices based on real-time feedback. This empowers patients to take ownership of their health and feel more in control, leading to improved self-management and adherence to treatment plans.

Furthermore, IoT-based RPM systems offer significant cost benefits for healthcare systems. By reducing hospital readmissions and emergency department visits, these systems can alleviate the strain on healthcare resources. Additionally, remote monitoring eliminates the need for frequent in-clinic visits, which saves time and money for both patients and providers.

However, the integration of IoT technology in healthcare also presents challenges. Data security and privacy remain paramount concerns. Ensuring the secure transmission and storage of sensitive health data requires robust cybersecurity protocols. Additionally, interoperability between different devices and platforms needs to be addressed to create a seamless data flow within the healthcare ecosystem.

Overall, IoT-enabled RPM has the potential to revolutionize chronic disease management. By providing real-time data insights, fostering patient engagement, and offering cost-saving benefits, this technology offers a promising approach to improving healthcare outcomes for patients with chronic conditions.

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