Author/Authors :
Gholamhosseini ، Leila Department of Health Information Management - School of Paramedical Sciences - AJA University of Medical Sciences , Behmanesh ، Ali Shafa Orthopedic Hospital, Bone and Joint Reconstruction Research Center - Iran University of Medical Sciences , Nasiri ، Somayeh Department of Health Information Management - School of Health Management and Information Sciences - Iran University of Medical Sciences , Ehsanzadeh ، Seyed Jafar Department of English Language - School of Health Management and Information Sciences - Iran University of Medical Sciences , Sadoughi ، Farahnaz Department of Health Information Management - School of Health Management and Information Sciences - Iran University of Medical Sciences
Abstract :
Introduction: The Internet of Things (IoT) and Cloud computing are two recent technological advances whose potential have not been realized in a range of industries. These technologies have been used in healthcare systems to improve their performance. In this regard, the IoT generates a large amount of data; also, cloud computing is a viable option for data storage and complex computing. The purpose of this study is to identify and categorize various aspects of CIoT-based healthcare in terms of main application domains, sensors, wireless communication technologies, messaging protocols, cloud platforms, and artificial intelligence (AI) algorithms. Material and Methods: We conducted a literature systematic review and reported according to the PRISMA guideline. PubMed, IEEE, Scopus, and Web of Science were searched using the related keywords and their synonyms. Two independent authors reviewed the papers eligibility according to the defined inclusion and exclusion criteria. Results: Of the 2,118 papers retrieved, 61 were eventually selected in the study. Results of the present study revealed that the majority of CIoT research works were applied to patient monitoring systems and cardiovascular patient monitoring systems using Amazon and IBM dominating Cloud platforms. In addition, the most widely used communication technologies for CIoT in healthcare are cellular networks (3G and 4G), Wi-Fi, and Bluetooth. Cardiovascular, environmental, and position sensors are also the most common types of sensors used in healthcare CIoT applications. Among the Cloud platform providers, Amazon and IBM have the highest utility in healthcare systems. The majority of the included studies used Cloud-based AI algorithms to diagnose, classify, and predict diseases. Conclusion: The integration of the Cloud into the IoT can support healthcare systems in terms of processing power, storage capacity, security, privacy, performance, reliability, and scalability. We suggest researchers conduct experimental studies to evaluate the effectiveness of the CIoT approach in healthcare applications.
Keywords :
Internet of Things , Cloud computing , Cloud , based IoT , Healthcare ,
