ABSTRACT
Intelligent medical management is one of several modern city and society management fields where the Internet of Things (IoT) is essential. Smart cities' current engagement between technology and the health care system is strengthened by the intelligent IoT's limitless networking capabilities for big data analysis in medicine. Allows for more practical methods for efficiently monitoring patients' health and providing medical services remotely online assessment of patients' health status by doctors, nurses, and other healthcare professionals. The of the current study aims to provide a full examination of the function of IoT in medical management systems, analyse the available concerns, and address many of the open questions. It also aims to provide an up-to-date and comprehensive review of this field. Enabling technology and hints at a variety of uses There have been suggested research plans. The following are some examples of IoT applications from previous studies: wearable technology, monitoring technology, rehabilitation technology, telehealth, behaviour modification, smart city, and smart home. This comprehensive review identifies the crucial elements that make it possible to comprehend the healthcare possibilities and obstacles providers to put IoT applications into action. Lastly, anticipated COVID-19 effects on IoT uptake this review assessed in the field of healthcare. © 2022 IEEE.
ABSTRACT
Internet of things (IoT) is an emerging technology that is being used widely. The literature has no agreement regarding the factors that affect the adoption of IoT. The purpose of this study is to review the literature systematically using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Following this method, 69 articles were included in this review. A frequency analysis was conducted. The findings showed that number of articles reduced during COVID19. Higher education has the highest numbers of articles. Emerging economies are active in research about IoT. Technology acceptance model (TAM) is still the dominant adoption theory with majority of the reviewed articles are using quantitative method and large sample size to meet the assumption of using structural equation modeling. The most important predictors are the perceived usefulness, perceived ease of use, social influence, privacy, security, and trust. Other factors also included the variables of UTAUT. Decision makers are recommended to focus on usefulness and simplifies the process of using IoT as well as to create awareness about the application of IoT. Future studies are recommended to narrow the scope to one industry and to conduct more studies using mixed method or qualitative approach. More studies in developing countries are needed to explain the adoption of IoT. © 2022 Slovene Society Informatika. All rights reserved.