Multi-Sources Data Fusion Framework for Remote Triage Prioritization in Telehealth

Abstract

The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely.

A 2015 Medical Informatics Perspective on Health and Clinical Management: Will Cloud and Prioritization Solutions Be the Future of Health Data Management?

“…One of the main concerns developed this year is the prioritization in health. In a paper proposed by Salman [3] for example, remote triage in telehealth was proposed with prioritization processes with a particular focus on the fusion of data from multisources, another framework for prioritization was proposed by Ongenae et al [4] providing a learning nurse call system that uses ontologies and data-mining techniques in order to regulate the nurse calls in hospital. On the topic of prioritization, we kept one of the best papers of the section entitled "developing and testing a computerized Decision Support System for Nurse-to-Patient assignment" proposed by C. Van Oosteveen et al [5].…”

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

“…The scalability in healthcare services, that includes the patient prioritization process and patient analysis, is a challenging task [38]. The demand for health care services is increasing gradually as the number of patients increases due to a rise in the population.…”

“…The identification of innovative research contributions for the provision of effective and efficient health care systems is an important and challenging task [39][40][41][42][43][44][45][46][47][48]. Various studies are conducted in bioinformatics to improve the prioritization process and provide a solution for the scalability problems in health care services [38,49].…”

“…This section introduces the relevant literature that explores the dilemma of the growing number of elderly patients who need timely and effective telemedicine services. An increase in the number of patients is expected to occur in the context of an ageing population [38,[50][51][52][53][54][55] and disasters phenomena [56]. There are a number of problems in health care services but the aging population is considered to be the greatest problem [54,55,57,58].…”

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

“…Triage in telemedicine is the concept of sorting patients in order of treatment necessity in a large-scale emergency. In other words, it is the process of assessing and prioritising care for all patients and casualties [23][24][25][26][27]. A prioritisation process is often conducted to ensure that care is given in a suitable and timely manner [28,29].…”