Limited visibility of capacity
Idle periods and differences between equipment do not always reach management.
DICOM Metrics
Operational indicators calculated from your PACS metadata.
Analytics for medical imaging services, with automatically updated dashboards for productivity, workflow, demand, and quality.
Data you already have
Your operation records much more than you can currently see.
Every exam leaves information in the PACS about times, modality, equipment, institution, and staff. When these metadata remain restricted to technical systems, understanding the operation depends on spreadsheets and isolated perceptions.
DICOM Metrics organizes these records into automatically updated indicators that managers and teams can consult without building spreadsheets.
What usually stays out of reach
Three readings of the operation that the routine rarely delivers.
Reports that arrive late
Manual consolidations show what happened but may not explain yesterday’s bottleneck.
Decisions with little context
Staffing and expansion require an integrated view of demand and available capacity.
How it works
From infrastructure to management insight without adding another task for the team.
Connects to the PACS
Integration uses DICOMweb or a connection compatible with the available infrastructure.
Reads metadata
Times, modalities, equipment, and required records are organized without displaying exam images.
Calculates indicators
Volume, duration, wait time, utilization, and intervals are updated automatically.
Delivers a clear view
Managers and teams follow the indicators in dashboards with filters and in PDF reports.
What becomes visible
Six perspectives for understanding the operation as a whole.
Operational view
Volume, duration, utilization, and essential indicators in an automatically updated dashboard.
Audit
Find incomplete records, inconsistent times, and information that needs verification.
Productivity
Understand how volume is distributed among professionals, shifts, and equipment.
Workflow and quality
Track waiting, procedure time, and pauses between exam stages.
Demand profile
Observe seasonality and peak times to plan capacity.
Reports
View the time between the exam and report delivery by team and modality.
Decisions supported
The same data, new questions for each team.
Management
Where is there capacity to grow?
Compare demand, shifts, and utilisation before revising rosters or expanding the facility.
Technical coordination
Where does the workflow need attention?
Look at times, intervals, and workload distribution to guide adjustments and training.
Quality
Which records need investigating?
Separate technical inconsistencies from operational indicators and follow how they evolve.
AI-supported analysis
An AI-generated executive summary, validated by the responsible team.
DICOM Metrics can gather the key findings into an executive summary that relates indicators for the selected period, organizes findings by priority, and suggests questions and next steps. Validation stays with the responsible team.
Analyses depend on the quality and coverage of available data and must be interpreted in the context of each operation.
Privacy and integration
Indicators calculated without downloading exam images.
DICOM Metrics uses the metadata required to calculate indicators. Diagnostic images are not downloaded or displayed in the analytics dashboard.
The platform connects to the existing infrastructure, access profiles follow each person’s responsibility, traceability supports audits, and data processing is aligned with Brazil’s LGPD.
See it in practice
Want to understand how this solution fits your operation?
Talk to us about your infrastructure, challenges, and goals.