Analytics
Radiology analytics across the full spectrum.
Spectrum gives radiology leaders clear analytics for efficiency, performance, staffing, throughput, and practice growth.
Screenshots
Spectrum analytics views.
Analytics
Beautiful insights for operational leaders.
Spectrum makes radiology operations easier to understand, so teams can improve throughput, staffing, productivity, and financial performance with real data.
- Track performance, volume, turnaround, and team activity.
- Understand bottlenecks across worklists, viewing, and reporting.
- Support staffing and growth decisions with clear analytics.
- Connects naturally to Prism+, Photon, and Focus workflows.
Spectrum workflow
Turn operational noise into staffing, backlog, and productivity decisions.
Spectrum helps radiology leaders analyze the operation by time window, patient class, modality, site, and reader, then convert those signals into action.
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01
Choose the operational slice
Filter by time window, patient class, modality, site, and radiologist to focus the analysis.
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02
Review productivity
Compare studies, RVUs, radiologist-level performance, subspecialty context, and trend information.
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03
Understand hourly demand
See expected or observed workload patterns by hour and modality so demand becomes easier to staff.
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04
Quantify backlog pressure
Track unread studies, aging, unread RVU volume, modality mix, and staffing effort needed to clear the queue.
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05
Act on staffing alerts
Identify under- or over-staffed periods and review recommended actions with rationale and expected impact.
FAQ
Spectrum questions.
Spectrum is designed for visibility into productivity, RVUs, volume, backlog, staffing, modality mix, patient class, site performance, and workflow health.
Teams can analyze operational data by time window, patient class, modality, site, and radiologist to focus on the slice of the practice that needs attention.
Spectrum translates unread work into operational terms, including waiting studies, oldest unread age, unread RVU load, modality mix, and estimated staffing effort to clear the queue.
Spectrum staffing alerts identify under- or over-staffed periods and present recommended actions with rationale and expected operational impact.
Practice leaders, operations teams, and radiology groups use Spectrum when staffing, growth, productivity, and backlog decisions need to be made with real data.
Spectrum is strongest when connected to workflow data produced by Prism+, Photon, and Focus, but a demo can focus on analytics needs before the full deployment shape is known.
Spectrum is built around radiology-specific operations: RVUs, modality demand, unread aging, site variation, hourly volume, and staffing recommendations tied to clinical workflow.