HERMES

HERMES enables real-time teleconsultation and collaborative interactive examination of medical images to support diagnostic decision-making among geographically dispersed healthcare professionals.


Key Features:

  • Real-Time Collaboration: Enables synchronous collaboration over medical images using the webRTC protocol for direct client communication.
  • Scalable Architecture: Implements a microservices architectural pattern to allow scalable and extensible deployment of imaging services.
  • Peer-to-Peer Networking: Incorporates peer-to-peer networking principles to reduce dependency on centralized servers and lower communication latency.
  • Single-Page Application: Uses a single-page application framework for dynamic client-side operation without full page reloads.
  • Heterogeneous Workflow Management: Integrates heterogeneous workflow management systems to accommodate diverse medical imaging consultation processes.

Scientific Applications:

  • Remote Teleconsultation: Provides infrastructure for immediate expert feedback on medical images in telemedicine scenarios.
  • Multidisciplinary Case Review: Supports collaborative review by geographically dispersed specialists for complex diagnostic decision-making.
  • Diagnostic Imaging Modalities: Applicable to specialties that rely on diagnostic imaging, including radiology, oncology, and neurology.

Methodology:

Implements webRTC-based direct client communication, peer-to-peer networking, a microservices architectural pattern, a single-page application framework, and heterogeneous workflow management.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge (with restrictions)
Tool Type:
api, web application
Operating Systems:
Linux, Windows, Mac
Added:
6/1/2019
Last Updated:
6/16/2020

Operations

Publications

Andrikos C, Rassias G, Tsanakas P, Maglogiannis I. An Enhanced Device-Transparent Real-Time Teleconsultation Environment for Radiologists. IEEE Journal of Biomedical and Health Informatics. 2019;23(1):374-386. doi:10.1109/jbhi.2018.2824312. PMID:29993993.

PMID: 29993993
Funding: - Greek General Secretariat of Research and Technology under GSRT: 93557/2015