Pogosh CDS — Budget Impact Model
Estimate the clinical and financial impact of structured decision support on missed orders, escalation time, and nursing throughput.
🔬 Module 1: Missed Order Recovery
⚡ Module 2: Escalation Time Savings
⏱ Module 3: Nursing Throughput
Pogosh CDS — Monthly Cost
Sensitivity Analysis — Top Drivers
Summary Breakdown
Model type: Deterministic budget impact model, single-year horizon, monthly cost comparison.
Perspective: Practice / health system operational budget.
- Module 1 — Missed orders: Annual missed orders = daily encounters × 260 workdays × miss rate. Recovery = missed × catch rate × cost per miss. Defaults are conservative estimates from published CDS literature (Kawamoto et al., BMJ 2005; Roshanov et al., Syst Rev 2011).
- Module 2 — Escalation: Annual adverse events avoided = monthly escalations × 12 × adverse rate × CDS improvement. Cost avoidance = events avoided × cost per event. Default adverse event cost ($8,500) represents a blended average of extended stay and readmission costs.
- Module 3 — Throughput: Hours saved = total monthly encounters (shifts × pts/shift) × minutes saved ÷ 60. Annual cost = hours × 12 × hourly rate. Captures cognitive load reduction — redeployed time improves quality and reduces burnout.
Scenario adjustment: Conservative/Base/Optimistic presets adjust uncertain inputs (catch rate, escalation improvement, minutes saved) — not outputs. Base values snapshotted; switching scenarios applies percentage deltas.
Sensitivity: ±20% perturbation on each input. Top 5 drivers ranked by absolute impact on annual benefit.
Limitations: Single-site, single-year. No discounting. Does not model downstream clinical outcome improvements beyond cost avoidance. Does not account for implementation costs or training time.
These estimates are based on your inputs. Every assumption is editable and transparent.