OR data is abundant and rarely decisive. A utilisation report says a room ran at 68% without saying whether that is a block problem, a staffing problem or a turnover problem — and the three have different answers.
We take the telemetry you already produce and turn it into the specific question: which blocks are released too late to be re-used, where staffing is set to the peak rather than to the pattern, and what turnover is costing in cases not done.
Dashboards you keep, a block schedule built from demand rather than from history, and a staffing model matched to the day the OR actually has.
Who asks for this
An OR leader with more reports than decisions. Utilisation says a room ran at 68 percent and does not say whether that is a block problem, a staffing problem, or a turnover problem. The three have different owners and different costs.
We use the telemetry you already produce. The engagement is not a new data platform. It is the question the existing data has not been asked.
What you leave with
Which blocks are released too late to be reused, where staffing is set to the peak rather than to the pattern, and what turnover is costing in cases not done. A block schedule built from demand, and a staffing model matched to the day the OR actually has.
Those changes are made with the people already covering the rooms. A different group does not fix a block schedule the hospital controls.
Related reading
Where this starts
Tell us the situation and we will come back on what this would involve at your facility — and on what it would not.
Key Deliverables
- Real-Time Dashboards
- Block-Schedule Design
- Staffing Optimization
- Turnover Analysis