Patient monitoring system based on e-health sensors and web services

Hameed, Rasha Talal; Mohamad, Omar Abdulwahabe; Hamid, Omar Talal; Țăpuș, Nicolae

doi:10.1109/ecai.2016.7861089

Cited by 20 publications

(8 citation statements)

References 11 publications

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“…In combination with interoperability and alarm management, together with connectivity, it is anticipated that consolidation of individual-level data that healthcare needs for clinical decision making will be harvested from these devices and managed within the integrated patient monitoring system. It is anticipated that this information could be used as part of individual EHRs 5 …”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Evidence-Based Introduction of Large-Scale Medical Technology Into Healthcare Through Test of Chance and Proof of Concept

Ngoie¹,

Nabi²,

Huang³

et al. 2021

J Clin Eng

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Traditional or “off the shelf” or “out of box” method of acquisition of medical devices and technology is currently being challenged by clinical users. As hardware, connectivity, and Health information systems (HISs) are becoming the key enablers of delivery of integrated patient monitoring; there is an increasing requirement for a coproductive approach to the choice and implementation of patient monitoring systems. The complexity of the clinical environment requires a collaboration of many stakeholders with a common focus and shared goals to ensure the correct choices and outcomes are delivered to satisfy requirements of clinical users and the wider system. Implementation of change through operationalization of such technologies is, however, complicated by regulation, accreditation, and standards requirements. In response to these and other issues, clinical engineers are recommending that the safest, efficient, and most effective approach to introduction of new systems is to conduct a test of change prior to major acquisitions of medical devices and systems that carry organization-wide clinical impact. The proposed approach is consistent with the Plan-Do-Study-Act cycle improvement model. In this case study, neonatal intensive care unit was used to assess the introduction of an “integrated patient monitoring system” into NHS Tayside.

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Section: Discussionmentioning

confidence: 99%

“…It is anticipated that this information could be used as part of individual EHRs. 5 • The survey results also shows that different countries are at different stages of the implementation of their HISs and its integration with EHRs. The EHR is seen as the necessary recipient of the outputs of integrated patient monitoring systems.…”

Section: Investigation Surveymentioning

confidence: 95%

Evidence-Based Introduction of Large-Scale Medical Technology Into Healthcare Through Test of Chance and Proof of Concept

Ngoie¹,

Nabi²,

Huang³

et al. 2021

J Clin Eng

View full text Add to dashboard Cite

show abstract

“…According to [ 27 ], eHealth is a new branch of medical informatics that refers to the use of the Internet and related technologies to organize and provide health services and information. eHealth encompasses, in a broader sense, the application of information and communication technologies to healthcare.…”

Section: Ehealth: An Overviewmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

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The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.

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“…Hameedet et al [45] present a framework oriented to the real-time monitoring of the vital signs of patients (e.g., electrocardiogram, body temperature, pulse rate and oxygen in blood); their framework consists of the combined use of the SOA architecture, rich Internet application and the IoT (Arduino and eHealth sensor shield) [46]. This combined use is necessary because the framework requires the ability to communicate between services and their sensors and to make associations between different medical administrations (e.g., clinics or medical centers); therefore, the implementation of the REST protocol was required to comply with this aspect [47].…”

Section: Service-oriented Architecture (Soa)mentioning

confidence: 99%

Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

et al. 2021

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This article proposes a new framework for a Cloud-based eHealth platform concept focused on Cloud computing environments, since current and emerging approaches using digital clinical history increasingly demonstrate their potential in maintaining the quality of the benefits in medical care services, especially in computer-assisted clinical diagnosis within the field of infectious diseases and due to the worsening of chronic pathologies. Our objective is to evaluate and contrast the performance of the architectural patterns most commonly used for developing eHealth applications (i.e., service-oriented architecture (SOA) and microservices architecture (MSA)), using as reference the quantitative values obtained from the various performance tests and their ability to adapt to the required software attribute (i.e., versatile high-performance). Therefore, it was necessary to modify our platform to fit two architectural variants. As a follow-up to this activity, corresponding tests were performed that showed that the MSA variant functions better in terms of performance and response time compared to the SOA variant; however, it consumed significantly more bandwidth than SOA, and scalability in SOA is generally not possible or requires significant effort to be achieved. We conclude that the implementation of SOA and MSA depends on the nature and needs of organizations (e.g., performance or interoperability).

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Patient monitoring system based on e-health sensors and web services

Cited by 20 publications

References 11 publications

Evidence-Based Introduction of Large-Scale Medical Technology Into Healthcare Through Test of Chance and Proof of Concept

Evidence-Based Introduction of Large-Scale Medical Technology Into Healthcare Through Test of Chance and Proof of Concept

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

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