Pilot programs
Radiology One Global turns reporting, quality, AI-workflow, dose, and education priorities into focused pilots with clear boundaries, accountable owners, and a practical decision gate.
Project-derived pilot portfolio
Each option is a starting frame—not a fixed package. The final scope depends on the organization, market, intended use, systems, evidence need, and applicable clinical requirements.
Test a defined evening, overflow, emergency, or backlog coverage window inside the client’s existing allocation and escalation model.
Measure: Case flow, turnaround, completeness, escalation, handoff, and user feedback.
Establish a practical quality baseline through an agreed sample, taxonomy, feedback route, and improvement discussion.
Measure: Agreement, discrepancy categories, learning themes, closure, and improvement actions.
Evaluate report generation, dictation, structured templates, or decision-support tools in a radiologist-controlled workflow.
Measure: Completeness, edit burden, time, adoption, failure modes, overrides, and safety signals.
Assess fracture-support performance and workflow fit for an agreed body region, case mix, reader group, and clinical setting.
Measure: Detection performance, false alerts, reader interaction, time, escalation, and clinically important misses.
Evaluate pulmonary nodule detection or follow-up support against a defined CT cohort and reporting pathway.
Measure: Detection, characterization, report consistency, follow-up recommendations, and workflow impact.
Create visibility around protocol-level dose patterns, outliers, review ownership, and improvement priorities.
Measure: Baseline variation, outlier review, protocol actions, ownership, and repeat measurement.
Pilot case-based teaching that connects interpretation, structured reporting, feedback, and responsible AI use.
Measure: Participation, case completion, reporting quality, learner feedback, and agreed learning outcomes.
Recommended first move
A QA baseline or tightly bounded workflow assessment is usually the strongest first pilot because it creates shared definitions, reveals operational constraints, and produces measures that a later reporting or AI rollout can use.
Pilot design sequence
The pilot is designed around the decision it must support—not around the novelty of the technology or the size of the initial proposal.
Define the operating or clinical problem, the users affected, and the single decision the pilot needs to inform.
Agree the cases, modality, coverage window, reader group, data route, responsibilities, and escalation boundaries.
Document the baseline, success measures, safety signals, limitations, review cadence, and accountable owners.
Review the evidence and decide whether to stop, refine, extend, or progress to a wider operational scope.
Share the organization, priority, intended users, available workflow, and the decision you need to make. We’ll frame a focused first discussion without requesting patient material through public channels.