Scalable Architecture for Telemonitoring Chronic Diseases in Order to Support the CDSSs in a Common Platform

Abstract

Introduction:In recent years, a variety of clinical decision-support systems (CDSS) have been developed to monitor the health of patients with chronic disease from far away. These systems are effective in overcoming human resource limitation and analyzing information generated by Tele-monitoring systems. These systems, however, are limited to monitoring a particular disease, which allows them to be used only in one specific disease. In reuses of these systems to monitor other diseases, we need to re-establish a new system with a new knowledge base. However, this type of healthcare system faces many challenges, including low scalability for change, so that, if we want to modify a health monitoring system designed for a specific disease to be used for another disease, these changes will be very substantial, meaning that, most components of that system should be changed. The lack of scalability in these systems has led to the creation of multiple health monitoring systems, while many of these systems share a common structure.Aim:In this paper, to solve the scalability problem, architecture has been presented that allows a set of CDSSs to be placed on a common platform for Tele-monitoring.Material and methods:In order to provide the proposed architecture in this study, we extracted the related concepts from the literature. The anatomical concepts used in these studies are as follow: users, transmitted data, patient data storage databases, data transfer network, and medical setting and the work is done in this setting. Finally, to design the proposed architecture, UML has been used.Results:The innovation of this research is to provide a scalable and flexible architecture, which as a platform, is able to monitor multiple diseases with a common infrastructure. In this architecture, all components are commonly used simultaneously without the interference of several CDSSs.Conclusion:Utilizing the proposed model in this paper, while reducing the setup costs and speeding up the launch of various remote monitoring systems, many rework in the implementation of these systems is also reduced.

Development of a Scalable Tele-Monitoring Platform based on the Clinical Decision Support Systems

“…The present study was conducted in four phases: 1: determining platform modules, 2: Conceptual model design (We have published the details of these two steps in another article [4]), 3:developing platform and nally evaluating. To development of PATEL platform, component-based software development approach used and since different components, have different structure and approach in the implementation, so different techniques and languages used to implement them.…”

“…Each of the phases of the system development has its own time and cost [3]. When CDSSs are created, using solutions to make use of these systems on a large scale can reduce the cost of creating and maintaining these systems and with their subscription, will prevent the production of multiple and island systems [4,5]. In recent years, one of the approaches used in combination with CDSSs for this purpose is the service-oriented architecture (SOA) approach [6][7][8][9].…”

“…CDSS based Tele-monitoring systems and decision support telemedicine systems [11] are an emerging technology that is rapidly developing that bene t from the advantages of SOA. The explosion of information and the need for communication between health care providers are the starting point for such systems [4]. But this type of health care system faces many challenges, including certain use case and low-resilience to change [4,12].…”

“…The explosion of information and the need for communication between health care providers are the starting point for such systems [4]. But this type of health care system faces many challenges, including certain use case and low-resilience to change [4,12]. However, most of the existing CDSSs only for one type of disease with a single knowledge base, limited decision-support content is di cult to meet the needs of clinicians, hindering the application of the CDSSs.…”

COVID-19 and information - communication technology: Common components in an interactive framework for predicting, preventing, controlling and monitoring the new COVID-19 disease

“…Telemedicine, Telehealth, Mobile-health, Mobile patient monitoring are examples of e-health. Telemedicine is a commonly used term in the healthcare sector and is a type of e-health [29,30]. Telemedicine is often seen as a way to improve the management of chronic diseases and help medical emergencies [30][31][32].…”