What is DOSE MANAGEMENT
We are proud to offer DOSE — a best-in-class radiation dose-monitoring and optimisation platform developed by Qaelum, empowering imaging departments and healthcare organisations to monitor, analyse and optimise radiation exposure across modalities, patients, devices and facilities.
DOSE is a vendor-neutral radiation dose monitoring and management platform developed by Qaelum. It is designed for use in imaging departments to automatically collect, analyse and report radiation-dose data across multiple modalities, devices, patients, studies and facilities. It supports compliance with radiation protection regulations, helps drive optimisation of imaging protocols (ALARA — As Low As Reasonably Achievable), and enables quality assurance around radiation exposure.
At Computer Solutions, we bring local expertise in Greek healthcare and a deep understanding of imaging workflows, to ensure that DOSE is implemented effectively, adapts to regulatory frameworks, and drives measurable value — from enhanced patient safety to cost-optimisation and operational transparency.
- Υποστήριξη πολυτροπικότητας: CT, αγγειογραφία/IVR, γενική ακτινογραφία, μαστογραφία, πυρηνική
- Multi-modality support: CT, angiography/IVR, general radiography, mammography, nuclear medicine etc. “DOSE supports various modalities … and collects dose information from RDSR, MPPS, DICOM header, OCR if needed.”
- Flexible data acquisition: Captures dose metadata from a wide range of devices/formats (RDSR, MPPS, headers, OCR) so older equipment is covered.
- Diagnostic Reference Level (DRL) comparisons and alerts: The platform compares actual doses to DRLs, flags deviations via colour coded alerts and supports facility-specific thresholds.
- Advanced organ dose & simulation metrics: Uses Monte-Carlo simulations and voxel phantoms to estimate organ doses (including for paediatric, pregnant models) for CT and angiography.
- Dashboard, analytics & root-cause tools: Live dashboards, trend analytics, root-cause investigation capabilities.
- Workflow integration: Integrates with PACS/RIS environments, can operate at study/patient/device/modality/institution/regional level.
- Customised patient-reports and communication: Enables creation of patient-facing dose reports, making dose information understandable for patients or for counselling.
- Enhanced patient safety & radiation-dose optimisation: Through detailed dose tracking, organ dose simulation and alerts, the solution supports ALARA (“As Low As Reasonably Achievable”) policies and stronger dose governance.
- Regulatory compliance & audit readiness: With dose-data captured across modalities, comparisons to DRLs, and reporting tools, institutions can better meet regulatory requirements and accreditation standards.
- Operational efficiency & workflow improvement: Analytics reveal inefficiencies (e.g., sub-optimal protocols, positioning issues, outliers) so departments can improve throughput, reduce repeat exams and optimise resources.
- Better decision-making & quality assurance: Radiologists, technologists and physicists benefit from visual dashboards and root-cause analysis to identify where protocols, equipment or workflow need adjustment.
- Patient communication & trust: Providing understandable dose reports to patients and staff fosters transparency and trust, which is especially valuable for sensitive cases (children, pregnant patients) or referring physicians.
- Scalability and future-proofing: Because the platform supports many modalities, devices, rooms and even networks/regions, it can scale as imaging services grow. Also enables integration with new equipment and standards.
- Advanced organ-dose simulation and patient-specific metrics, to support justification and optimisation of exposures in children, pregnant patients, and high-risk examinations.
- Real-time dashboards and actionable insights for technologists, medical physicists and department leadership — enabling operational efficiency and patient safety.
- Seamless integration into PACS/RIS environments and enterprise imaging ecosystems, enabling imaging networks to adopt ALARA (“As Low As Reasonably Achievable”) workflows and quality-assurance protocols
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