OpenREM

by Open Sourcegithub.com
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OVERVIEW

Open-source software for patient radiation dose monitoring, optimization, and data analysis in medical imaging (CT, fluoroscopy, mammography).

OpenREM is a free, open-source application for patient radiation dose monitoring and optimization, primarily used by qualified medical physicists and radiology teams. It is designed to gather comprehensive data and support the goal of minimizing patient risk while ensuring effective medical imaging. The software imports data from a wide range of X-ray dose-related sources, including DICOM Radiation Dose Structured Reports (RDSRs) from CT, planar X-ray, fluoroscopy, and mammography modalities. It provides a web interface for displaying summary exposure data, which includes filtering and searching capabilities. Key functionalities include generating visually intuitive charts for data exploration (e.g., mean and median dose metrics, histograms, workload data) and creating skin dose maps for fluoroscopy procedures. For further analysis, data can be easily exported to spreadsheets (CSV and XLSX). Patient privacy is a core feature; by default, patient-identifiable data (PID) such as name and date of birth are not retained. The system is configurable to store PID, or a one-way SHA 256 hash of the ID/name can be stored for patient tracking without direct identification, which supports compliance efforts.

RATING & STATS

Founded
2014

KEY FEATURES

  • Patient Radiation Dose Monitoring
  • DICOM Data Import (CT, Fluoroscopy, Mammography)
  • Web Interface for Data Display and Filtering
  • Data Visualization and Charts
  • Fluoroscopy Skin Dose Mapping
  • Data Export to Spreadsheets (CSV/XLSX)
  • Patient Privacy Protection (PID Hashing/Non-retention)
  • DICOM Store and Query-retrieve

PRICING

Model: free
Free, open-source software licensed under the GNU General Public License (GPLv3).
FREE TIER

TECHNICAL DETAILS

Deployment: on_premise
Platforms: web, windows, linux, mac
⚡ Open Source

USE CASES

Monitoring and Optimising Radiation ExposuresGathering Data for Reference/Representative Dose ReportingInterdisciplinary Dose and Image Quality Radiology Team WorkIdentifying Outlier Doses

INTEGRATIONS

DICOM (RDSR)CSV Files

COMPLIANCE & SECURITY

Security Features:
  • 🔒User Access Control (View/Export/Admin groups)
  • 🔒Data Hashing (for PID)
  • 🔒Configurable PID Storage

SUPPORT & IMPLEMENTATION

Support: community forum, social media, documentation
Implementation Time: 1-4 weeks
Target Company Size: small, medium, enterprise
TRAINING AVAILABLE

PROS & CONS

✓ Pros:
  • +Free and open-source (GPLv3 license)
  • +Strong focus on patient data privacy (PID non-retention/hashing)
  • +Comprehensive data import from all major X-ray modalities (DICOM/RDSR)
  • +Advanced features like fluoroscopy skin dose mapping
✗ Cons:
  • -Requires technical expertise for on-premise installation (database, web server, Python/Django)
  • -No dedicated vendor support (community-based only)
  • -No formal REST API (uses DICOM/scripts for programmatic access)

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