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.
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OVERVIEW
Open-source software for patient radiation dose monitoring, optimization, and data analysis in medical imaging (CT, fluoroscopy, mammography).
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)
TRY IT OUT
ABOUT OPEN SOURCE
Website: https://github.com/medforomics/SIMPL
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