Telemedicine integration with cloud-based IoT: A literature review approach

This paper discusses the possibilities of integrating cloud-based IoT with telemedicine as the ways to advance the healthcare industry performance and change its context for the better. This paper aims at exploring how these technologies can be integrated to enhance the existing solutions to the present problems of health care access, patient interactions and use of analytical data in practices. Possible ways in which IoT devices and cloud technology can enhance patient care and assist clinicians in their process of arriving at diagnoses are problems that the research seeks to uncover. The method used is a qualitative systematic review of prior studies related to telemedicine, IoT, and cloud computing, accompanied by a thematic analysis to reveal emerging patterns and the gaps in the literature examined in the study. The new model ‘‘Telemedicine Integration with Cloud-Based IoT,’’ was categorized thematically by differentiation of real-time severity, data privacy, patient interaction and technological difficulties. This model considers layers for acquiring IoT data, storing and analysis, a healthcare remote interface, a machine learning based analytics, and security, which offer a holistic way to enhance healthcare services. Real-time IoT, cloud-based storage, AI for early diagnosis, secure telemedicine platforms, data protection, and complete os compatibility. Based on this study, the authors posited that the convergence of IoT and cloud is capable of redesigning telemedicine by delivering better quality, efficient, and accessible healthcare solutions. However, they lack socio-economic factors for example, the feasibility cost for implementing it for the health companies and difficulties faced by the patient in the less-developed regions. The main limitation observed in the current research is related to the barriers hindering its implementation and future studies are suggested to address these challenges by exploring improved cost-effective approaches to overcome these and other barriers and analysing the issue of data security and patients’ privacy regulation. Studies should also aim at the long-term implications on the user satisfaction in order to introduce or show the long term positive and negative effects of cloud IoTs in telemedicine.