HSSCIoT: An Optimal Framework based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals

Document Type : Original Article


Department of Computer Science, Saigon University, Ho Chi Minh City 700000, Vietnam


The combination of Internet of Things (IoT) and cloud computing has been used in many fields which make global customized interest. Recently, this technology has been considered in medical and healthcare industry. Understanding the challenges and opportunities of using IoT-cloud in modern healthcare system needs more knowledge and strategies. This trends can implement in smart hospitals with Hospital Information System (HIS) to provide a success structure for better management in new era (especially in coronavirus pandemic). Proposing a new schema for HIS based on IoT-cloud as an assumption with formulating some advanced models for three components notification, database and data processing provided in DEMATEL protocol. In general, this article propose a new framework of Healthcare Services Selection based Internet of Things-Cloud (HSSCIoT) in HIS for smart hospitals which use deep learning technique to process any data. The combination of Recurrent Neural Network (RNN) means Long Term Short Memory (LSTM) and new kinds of Convolutional Neural Network (CNN) means Atrous Spatial Pyramid Pooling (ASPP) deep learning methods consider for HSSCIoT.