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