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

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This review highlights advancements in telemedicine architectures for continuous remote monitoring. Emerging technologies like blockchain and cloud computing enhance security, interoperability, and scalability in healthcare delivery.

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Area of Science:

  • Medical Informatics
  • Software Engineering
  • Health Systems Engineering

Background:

  • Telemedicine architectures are crucial for continuous remote patient monitoring, especially during global health crises.
  • Effectiveness, security, interoperability, and scalability are key challenges in telemedicine system design.
  • Evolving software engineering practices are essential for robust telemedicine solutions.

Purpose of the Study:

  • To systematically review recent advancements in telemedicine architectures for continuous monitoring.
  • To provide an overview of software engineering practices in telemedicine systems.
  • To emphasize the importance of critical system attributes in remote healthcare.

Main Methods:

  • Systematic review methodology adhering to PRISMA guidelines.
  • Searched PubMed, IEEE Xplore, and Scopus databases for relevant articles.
  • Analyzed and synthesized findings from seventeen selected articles.

Main Results:

  • Telemedicine architectures increasingly integrate emerging technologies.
  • Key focus areas include enhancing interoperability, security, and scalability.
  • Innovations include cognitive radio, behavior-based control, HL7 FHIR, cloud computing, decentralized systems, and blockchain.

Conclusions:

  • Telemedicine architectures have significantly advanced through technology integration.
  • Cognitive radio, behavior-based control, HL7 FHIR, cloud, decentralized systems, and blockchain improve remote healthcare.
  • These advancements address critical challenges in continuous remote monitoring and healthcare delivery.