ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2018
Scalable Architecture for Telemonitoring Chronic Diseases in Order to Support the CDSSs in a Common Platform.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Introducing and Validating a Minimum Data Set and Core Functionalities for Remote Poststroke Home Monitoring: "A Cross-Sectional Study".Health science reports · 2026Article
- An integrated queuing and certainty factor theory model for efficient edge computing in remote patient monitoring systems.Scientific reports · 2025Article
- Development, usability and quality evaluation of the resilient mobile application for women with breast cancer.Health science reports · 2022Article
- Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.Computational and mathematical methods in medicine · 2022Article
- Determining the effect of tele-rehabilitation on patients with stutter using the goal attainment scaling (GAS).BMC medical informatics and decision making · 2021Article
- Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects.Medical journal of the Islamic Republic of Iran · 2021Review
- Words prediction based on N-gram model for free-text entry in electronic health records.Health information science and systems · 2019Article
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Authors and funding
5 authors.
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Abstract
introductionIn 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.
aimIn 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
methodsIn 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.
resultsThe 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.
conclusionUtilizing 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.
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