Limited visibility of capacity
Idle periods and differences between equipment do not always reach management.
DICOM Metrics
Data that reveals the rhythm of your operation.
Analytics for medical imaging services, turning operational data into a clear view of 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 so managers and teams can recognize patterns, investigate changes, and decide with more context.
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.
The platform connects to the existing environment and transforms technical metadata into understandable operational information.
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
Dashboards, filters, and PDF reports bring data closer to everyday decisions.
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.
A shared view helps different areas discuss the operation from the same context.
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
One more perspective to support — not replace — decisions.
DICOM Metrics can summarize key findings and highlight changes, risks, and opportunities that deserve attention.
The summary relates indicators for the selected period, organizes findings by priority, suggests questions and next steps, and keeps validation 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
Understand the operation while keeping care at the center.
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.