Exploring the Key Factors Impacting Dependability Evaluation Parameters in IoT Systems for Healthcare Domain
Subject Areas : Information Technology in Engineering Design (ITED) Journal
Esmaeil Kheirkhah
1
*
,
ali kowsari
2
,
Seyyed Reza kamel Tabbakh Farizani
3
1 - Department of Computer Engineering, Mashhad branch, Islamic Azad University, Mashhad, Iran
2 - Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, IRAN
3 - Department f Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Keywords: evaluation parameters, dependability, healthcare, Internet of Things (IoT), IoT system,
Abstract :
In the healthcare domain, advancements in technology and medical research have propelled significant progress, leveraging the capabilities of the Internet of Things (IoT) for diagnosing, treating, and monitoring human diseases. From cutting-edge imaging scanners to intelligent surgical robots, IoT systems in healthcare have elevated therapeutic precision and accuracy through the integration of advanced technology and scientific innovations. However, ensuring the reliable and satisfactory performance of IoT systems in healthcare is paramount for gaining the trust of physicians, operators, and patients. Dependability has thus emerged as a pivotal factor in the design and development of IoT systems within the healthcare domain. Nevertheless, challenges related to dependability persist in healthcare IoT systems. This article employs the Delphi and Snowball Sampling methods to investigate the factors influencing dependability in IoT systems within the healthcare domain. By aggregating expert opinions and experiences, a conceptual method illustrating the factors impacting dependability in healthcare IoT systems has been formulated. The findings aim to contribute to enhancing device dependability during the design and development phases of healthcare IoT systems. The findings of this article indicate that the most influential factors affecting the assessment of the dependability of healthcare systems are reliability, safety, and confidentiality. The factors impacting each of these parameters have been identified. The significance of these findings lies in improving patient monitoring and supervision, enabling rapid disease diagnosis and prevention, advancing diagnostic and therapeutic capabilities, optimizing resource management in healthcare provisions, and preserving patients' privacy.