A Systematic Review of Internet of Things in Clinical Laboratories: Opportunities, Advantages, and Challenges
【Author】 Munir, Tahir; Akbar, Muhammad Soomair; Ahmed, Sadia; Sarfraz, Azza; Sarfraz, Zouina; Sarfraz, Muzna; Felix, Miguel; Cherrez-Ojeda, Ivan
【Source】SENSORS
【影响因子】3.847
【Abstract】The Internet of Things (IoT) is the network of physical objects embedded with sensors, software, electronics, and online connectivity systems. This study explores the role of IoT in clinical laboratory processes; this systematic review was conducted adhering to the PRISMA Statement 2020 guidelines. We included IoT models and applications across preanalytical, analytical, and postanalytical laboratory processes. PubMed, Cochrane Central, CINAHL Plus, Scopus, IEEE, and A.C.M. Digital library were searched between August 2015 to August 2022; the data were tabulated. Cohen's coefficient of agreement was calculated to quantify inter-reviewer agreements; a total of 18 studies were included with Cohen's coefficient computed to be 0.91. The included studies were divided into three classifications based on availability, including preanalytical, analytical, and postanalytical. The majority (77.8%) of the studies were real-tested. Communication-based approaches were the most common (83.3%), followed by application-based approaches (44.4%) and sensor-based approaches (33.3%) among the included studies. Open issues and challenges across the included studies included scalability, costs and energy consumption, interoperability, privacy and security, and performance issues. In this study, we identified, classified, and evaluated IoT applicability in clinical laboratory systems. This study presents pertinent findings for IoT development across clinical laboratory systems, for which it is essential that more rigorous and efficient testing and studies be conducted in the future.
【Keywords】internet of things; cloud metrics; approaches; architecture; clinical laboratories; computing; blockchain; healthcare
【发表时间】2022 OCT
【收录时间】2022-11-11
【文献类型】综述
【主题类别】
区块链技术-协同技术-物联网
【DOI】 10.3390/s22208051
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