Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review.

Digital Health Medical Informatics Software Technology Telemedicine

Journal

Healthcare informatics research
ISSN: 2093-3681
Titre abrégé: Healthc Inform Res
Pays: Korea (South)
ID NLM: 101534553

Informations de publication

Date de publication:
Jul 2024
Historique:
received: 24 01 2024
accepted: 14 07 2024
medline: 20 8 2024
pubmed: 20 8 2024
entrez: 20 8 2024
Statut: ppublish

Résumé

This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices underpinning these systems. The review aims to illuminate the critical role of telemedicine in delivering healthcare services, especially during global health crises, and to emphasize the importance of effectiveness, security, interoperability, and scalability in these systems. A systematic review methodology was employed, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework. As the primary research method, the PubMed, IEEE Xplore, and Scopus databases were searched to identify articles relevant to telemedicine architectures for continuous monitoring. Seventeen articles were selected for analysis, and a methodical approach was employed to investigate and synthesize the findings. The review identified a notable trend towards the integration of emerging technologies into telemedicine architectures. Key areas of focus include interoperability, security, and scalability. Innovations such as cognitive radio technology, behavior-based control architectures, Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) standards, cloud computing, decentralized systems, and blockchain technology are addressing challenges in remote healthcare delivery and continuous monitoring. This review highlights major advancements in telemedicine architectures, emphasizing the integration of advanced technologies to improve interoperability, security, and scalability. The findings underscore the successful application of cognitive radio technology, behavior-based control, HL7 FHIR standards, cloud computing, decentralized systems, and blockchain in advancing remote healthcare delivery.

Identifiants

pubmed: 39160778
pii: hir.2024.30.3.184
doi: 10.4258/hir.2024.30.3.184
doi:

Types de publication

Journal Article

Langues

eng

Pagination

184-193

Subventions

Organisme : Kristiania University College

Auteurs

Avnish Singh Jat (AS)

School of Economics, Innovation, and Technology, Kristiania University College, Oslo, Norway.

Tor-Morten Grønli (TM)

School of Economics, Innovation, and Technology, Kristiania University College, Oslo, Norway.

George Ghinea (G)

Department of Computer Science, Brunel University, Uxbridge, UK.

Gebremariam Assres (G)

School of Economics, Innovation, and Technology, Kristiania University College, Oslo, Norway.

Classifications MeSH