The integration of the Internet of Things (IoT) in healthcare analytics: a transformative force

Title

The integration of the Internet of Things (IoT) in healthcare analytics: a transformative force

Creator

Shereef, Shafi; Varghese, Nisha

Description

The healthcare landscape is undergoing a dynamic transformation driven by a confluence of factors. Patient expectations for personalized and accessible care are rising, fueled by rapid technological advancements and demographic shifts. To meet these demands, the healthcare sector is actively integrating emerging technologies such as big data analytics, electronic health records (EHRs), telemedicine, and remote patient monitoring (RPM) - all contributing to a value-based care model. This paradigm shift prioritizes preventative care and patient-centered approaches, leveraging technological innovations to fundamentally alter how healthcare is delivered and experienced. Advances in artificial intelligence (AI) and machine learning (ML) algorithms empower doctors with early disease diagnosis and prompt decision-making, potentially preventing illnesses before their onset. However, a relatively new development with significant transformative potential is the integration of the Internet of Things (IoT) into healthcare analytics systems. The core concept of IoT in healthcare revolves around facilitating seamless data sharing, networking, and communication between various entities. This encompasses patients, medical devices, sensors, and healthcare professionals, creating a fully interconnected ecosystem. However, the true power of IoT lies in its data generation. This data fuels sophisticated analytics systems that utilize ML algorithms, predictive modeling, and data visualization techniques to uncover hidden patterns and relationships within the vast information pool. These analytical methods empower healthcare professionals with early detection of abnormalities, accurate diagnoses, and robust disease monitoring capabilities. The resulting connectivity fostered by IoT translates into numerous benefits for the healthcare industry- increased operational efficiency, improved patient care, and advancements in medical research. This convergence of technologies is redefining how healthcare data is collected, exchanged, and analyzed, ultimately providing crucial insights to support clinical decision-making and evidence-based guidance for healthcare practitioners. This chapter delves into the multifaceted integration of IoT into healthcare analytics systems, highlighting its transformative potential for patient outcomes, data-driven decision-making, and healthcare delivery itself. We explore the diverse applications of IoT technology in healthcare analytics, encompassing population health management, remote diagnostics, real-time patient monitoring, and clinical research. Furthermore, we investigate the role of IoT gadgets such as wearables, sensors, and smart medical instruments in data collection. These devices capture a comprehensive picture of a patient's health through information on behavior, environmental factors, and physiological parameters, providing healthcare professionals with a holistic and continuous view. Additionally, the chapter addresses critical challenges associated with IoT integration, including data interoperability, security, and scalability. We examine how technologies like edge computing, blockchain, and cloud computing play a vital role in safeguarding patient privacy and ensuring data integrity. The Institution of Engineering and Technology and its licensors 2026.

Source

AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0;pp.299-316

Date

01-01-2025

Publisher

Institution of Engineering and Technology

Subject

blockchain; cloud; digital therapeutics; edge computing; EHR; healthcare analytics; IoT; patient interaction; sensors; telemedicine

Coverage

Shereef S., Department of CS and IT, Jain University, India; Varghese N., Department of Computer Science, Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-183724029-6; 978-183724028-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1049/PBHE065E_ch15

https://www.scopus.com/pages/publications/105027358777?origin=resultslist