awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektMCP-ServerÜber unsRanking-MethodikPresse
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 Repos

Awesome GitHub RepositoriesClinical Workflow Extensions

Modular plugins designed to implement specialized clinical imaging workflows and viewing capabilities.

Distinct from Workflow Extensibility: Targets clinical medical imaging workflows rather than general development environment workflows.

Explore 3 awesome GitHub repositories matching development tools & productivity · Clinical Workflow Extensions. Refine with filters or upvote what's useful.

Awesome Clinical Workflow Extensions GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • hospitalrun/hospitalrun-frontendAvatar von HospitalRun

    HospitalRun/hospitalrun-frontend

    6,888Auf GitHub ansehen↗

    HospitalRun Frontend is an offline-first progressive web application designed for hospital information system administration, enabling healthcare facilities to manage patient records, appointments, and clinical workflows through a web-based interface. The application stores patient data locally in the browser's IndexedDB database, allowing full functionality without a persistent internet connection, and synchronizes changes with the backend server via RESTful API calls when connectivity is restored. The system implements role-based access control routing that restricts navigation and feature

    Streamlines hospital operations including patient check-in, medication tracking, and discharge processes.

    TypeScriptcouchdbemrfrontend
    Auf GitHub ansehen↗6,888
  • ohif/viewersAvatar von OHIF

    OHIF/Viewers

    4,035Auf GitHub ansehen↗

    Viewers is a zero-footprint DICOMweb medical imaging viewer and a modular plugin framework. It serves as a diagnostic interface for rendering 2D and 3D medical images, providing a web-based clinical workflow engine to automate image layouts and toolsets. The project distinguishes itself through a highly extensible architecture that allows for the development of custom clinical workflows, specialized viewing modes, and the integration of external functional extensions. It includes a dedicated command line interface for managing these plugins and supports white-labeling through a comprehensive

    Implements clinical workflow engines that define sequences of imaging tasks with associated layouts and settings.

    TypeScriptcancer-imaging-researchdicomdicom-viewer
    Auf GitHub ansehen↗4,035
  • nroduit/weasisAvatar von nroduit

    nroduit/Weasis

    1,270Auf GitHub ansehen↗

    Weasis is a professional medical imaging platform designed for the visualization, analysis, and integration of clinical studies. It functions as a modular framework that supports the rendering of diverse medical data, including multi-modal images, 3D volumes, segmentations, and structured reports. By utilizing standardized protocols, the platform serves as a comprehensive viewer that connects directly to hospital archives and clinical information systems. The platform distinguishes itself through a highly extensible, plugin-based architecture that allows developers to integrate custom tools,

    Connects with clinical information systems and health records to ensure seamless study access and data exchange.

    Javadicomdicom-imagedicom-image-viewer
    Auf GitHub ansehen↗1,270
  1. Home
  2. Development Tools & Productivity
  3. Development Workflow
  4. Clinical Workflow Extensions

Unter-Tags erkunden

  • Hospital Operations AutomationStreamlining hospital operations such as patient check-in, medication tracking, and discharge processes. **Distinct from Clinical Workflow Extensions:** Distinct from Clinical Workflow Extensions: focuses on general hospital operational workflows rather than specialized clinical imaging workflows.
  • Multi-Step Task SequencesDefinitions of sequential stages for clinical imaging tasks including specific layouts and settings. **Distinct from Clinical Workflow Extensions:** Focuses on the orchestration of clinical tasks and their state transitions rather than just the plugin extensions themselves.