PACS Queue Optimization Simulator
Simulate real-time STAT queue balancing, SLA breach prevention, and $/hr revenue yield.
| Study ID | Modality | Procedure Name | Patient Type | wRVU | Est. Read Mins | Elapsed / SLA Limit | $/hr Yield Rate | Priority Score | Status |
|---|
Chief Scientist Tim Sanders holds a Master of Probability and Statistics from Auburn University and brings direct operational experience from The Radiology Group (TRG)—managing data analytics and productivity tracking across hundreds of radiologists handling petabytes of medical imaging studies. Originating from ad-hoc Excel marginal optimizations at TRG, Tim formalized the system into a Convex Quadratic Programming (QP) Solver. By leveraging the Strong and Weak Laws of Large Numbers (SLLN/WLLN), the engine proves an almost surely optimal modality mix that maximizes Work RVU (wRVU) revenue yield while making only marginal, stress-free workload adjustments with zero disruption to patient care.
Simulate real-time STAT queue balancing, SLA breach prevention, and $/hr revenue yield.
| Study ID | Modality | Procedure Name | Patient Type | wRVU | Est. Read Mins | Elapsed / SLA Limit | $/hr Yield Rate | Priority Score | Status |
|---|
Transparent pricing tailored for independent imaging centers, regional teleradiology practices, and hospital networks.
Designed for independent imaging centers, outpatient clinics, and small practices (1–5 Radiologists).
Designed for regional teleradiology practices (10–30 Radiologists, TRG-scale practices).
For large health systems and petabyte practices (50–100+ Radiologists).