# Toward QoS Monitoring in IoT Edge Devices Driven Healthcare--A Systematic Literature Review
## 5 Related Work
### Systematic Literature Reviews/Surveys/Reviews  
In this section, an overview of pertinent evaluations of smart healthcare is covered. These reviews fall within the categories of systematic mapping publications, surveys, and SLRs. An SLR conducted by [PERSON] [35] focused on IoMT applications in smart healthcare systems and delved into detail regarding how IoMT works. As examples of relevant modern technologies, extended reality (XR) and its subsets, parallel processing techniques and their variations, data technologies, and 5G were cited. The limitations and uses of IoMT in the healthcare industry are then covered. Despite PRISMA guidelines being followed, no research questions are mentioned, and no QoS-related issues or challenges are discussed. The analytics from recent studies on IoT applications in healthcare are provided in [36] by the authors. This SLR has tackled issues and obstacles relating to system, user, cost, and data to offer IoT-based healthcare services. The writers gave the SLR title their entire attention, but they failed to adequately handle QoS, one of the toughest problems in healthcare. The article's [37] major goal was to make clear the standards and factors to be considered when integrating IoT into healthcare systems. In addition to a comprehensive SLR, questionnaires and surveys were also conducted to investigate several IoT-based healthcare solutions. During COVID-19, a lot of focus was also placed on the IoT and how IoT-based telemedicine reduced the risk of infection transmission. There was also a preliminary breakdown of the difficulties with money and privacy in telehealth. A detailed SLR was conducted as part of another study [38] that concentrated on IoT and AI-based E-cardiac care. Reporting on academic research that uses IoT and AI to diagnose various heart irregularities may help people understand cardiovascular issues. The E-Cardiac architecture and core formalized RQs were fully addressed. Considerable amounts of research was reviewed, outlining both the advantages and limitations of AI- and IoT-based cardiology. In [39], discussion is confined to spotting weaknesses in edge-enabled smart healthcare's blockchain-based security concerns. Access control, node security, and data trans  
Figure 13: Analysis of prior studies on smart healthcare to identify recent review study methodologies and their emphasis on quality of service. mission security have all been mentioned in recent literature as blockchain-based security topics. The authors concluded that it will only be feasible to detect and address any potential operational issues and hidden risks by putting edge-enabled smart healthcare systems into use in the real world. In a survey [40] on blockchain technology, many approaches for sharing and obtaining access to health data among healthcare organizations were covered. According to a substantial blockchain application addressing patient-based ownership of their own health data that was offered, patients would own their data and be able to select who had access to it. A list of various smart health monitoring (SHM) frameworks that leverage ML and other contemporary technologies has been created by the study [41]. The authors have talked extensively about the use of various ML approaches in SHM as well as cloud and fog computing. Network QoS was also addressed, and fog/edge computing was offered as a remedy to reduce network delay and reaction time in healthcare applications. Further suggestions for improving the QoS of fog/edge computing-based healthcare systems included fault-tolerant and multi-tiered architecture. The TOE (technology-organization-environment) paradigm was used by [PERSON] [42] to analyze why the health sector failed to implement smart strategies. The paper describes the difficulties in adopting smart technologies in healthcare. According to the results, organizational difficulties are the biggest barrier to implementing clever strategies. The two most challenging issues in this regard are general planning and a lack of cultural transformation.