Brief Report - (2023) Volume 10, Issue 3
Received: 09-May-2023, Manuscript No. bset-23-108880;
Editor assigned: 10-May-2023, Pre QC No. P-108880;
Reviewed: 15-Jun-2023, QC No. Q-108880;
Revised: 21-Jun-2023, Manuscript No. R-108880;
Published:
28-Jun-2023
, DOI: 10.37421/2952-8526.2023.10.175
Citation: Ben, Elizabeth. “Role of Internet of Things (IoT) in
Revolutionizing Biomedical Systems and Healthcare.” J Biomed Syst Emerg
Technol 10 (2023): 175.
Copyright: © 2023 Ben E. This is an open-access article distributed under the
terms of the Creative Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original author
and source are credited.
The Internet of Things (IoT) has emerged as a transformative technology that has revolutionized various industries and healthcare is no exception. The integration of IoT in biomedical systems and healthcare has brought forth a plethora of opportunities and advancements, reshaping the way medical services are delivered and managed [1]. This review explores the significant impact of IoT on healthcare, focusing on its role in enhancing biomedical systems, patient care, data analytics and challenges associated with its implementation.
IoT-enabled biomedical systems: IoT has enabled the development of sophisticated biomedical systems that play a vital role in monitoring, diagnosing and treating medical conditions. Devices such as wearable health monitors, smart medical implants and remote patient monitoring systems have become more prevalent, offering real-time data collection and analysis [2]. These interconnected devices have made it possible to track patients' health parameters continuously, leading to early detection of anomalies and timely intervention. One of the groundbreaking applications of IoT in biomedical systems is the development of smart insulin pumps for diabetic patients. These devices continuously monitor blood glucose levels and automatically deliver insulin doses as needed, reducing the risk of hypoglycemia and improving patients' quality of life.
IoT and patient care: IoT's impact on patient care is multifaceted, making healthcare more personalized, accessible and efficient. Telemedicine and remote patient monitoring have gained prominence due to IoT's integration, particularly during the COVID-19 pandemic, where virtual consultations became a necessity [3]. Patients can now consult with healthcare professionals from the comfort of their homes, reducing the burden on healthcare facilities and improving healthcare access, especially in remote or underserved areas.
Additionally, IoT has enabled the concept of "connected care," where various medical devices and wearables communicate with each other, providing a comprehensive picture of a patient's health status. This interconnected approach fosters better collaboration among healthcare providers, leading to more accurate diagnoses and tailored treatment plans.
Data analytics and predictive healthcare: The influx of data generated by IoT devices in healthcare has presented an enormous opportunity for data analytics and predictive modeling. By leveraging artificial intelligence and machine learning algorithms, healthcare providers can analyze large datasets to identify patterns, correlations and potential health risks [4]. Predictive analytics can anticipate diseases or complications before they occur, allowing for early intervention and preventive measures.
Moreover, IoT's integration with Electronic Health Records (EHRs) enhances data accessibility and interoperability, streamlining patient information sharing among healthcare providers, leading to more coordinated and efficient care.
Challenges and concerns
Despite its promising potential, the adoption of IoT in healthcare comes with various challenges and concerns that must be addressed for its successful implementation [5].
a. Security and privacy: The interconnected nature of IoT devices raises concerns about data security and patient privacy. Healthcare data is sensitive and subject to potential breaches or cyberattacks, jeopardizing patient trust and confidentiality. Robust security measures and encryption protocols must be in place to safeguard patient information.
b. Data accuracy and reliability: The reliability of IoT devices and the accuracy of the data they generate are critical for effective healthcare decisionmaking. Device malfunctions or inaccuracies could lead to misdiagnosis or inappropriate treatment. Regular monitoring and calibration are essential to ensure data accuracy.
c. Regulatory and compliance challenges: The rapid pace of IoT development has outpaced regulatory frameworks, creating challenges in standardization and compliance with healthcare regulations. Striking a balance between innovation and patient safety remains a delicate task for healthcare stakeholders.
d. Interoperability issues: As IoT devices and platforms are developed by various manufacturers, ensuring seamless interoperability among different systems becomes a challenge. Interoperability is vital for sharing patient data and facilitating efficient care coordination.
The integration of the Internet of Things (IoT) in biomedical systems and healthcare has transformed the way medical services are delivered and managed. IoT-enabled devices, remote patient monitoring and predictive analytics have enhanced patient care, making it more personalized and accessible. The potential of IoT in revolutionizing healthcare is enormous, but it is not without challenges. Security, data accuracy, regulatory compliance and interoperability are key areas that require continuous attention and improvement. As technology continues to evolve, it is imperative for healthcare stakeholders to collaborate and invest in IoT solutions responsibly, ensuring that patient safety, privacy and data integrity are at the forefront of this revolution. By addressing these challenges and harnessing the full potential of IoT, the healthcare industry can continue its transformation towards more efficient, effective and patient-centered care.
None.
None.
Google Scholar, Crossref, Indexed at
Google Scholar, Crossref, Indexed at
Google Scholar, Crossref, Indexed at
