Breaks a falling margin down into its components instead of merely describing the variance.
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The variance shows up in the monthly report; describing it explains nothing. Anyone who wants to break it down pulls occupancy days, staff costs per case and non-staff costs per case separately and weighs their contributions against each other. By the time the result is in, the next month is over, and the countermeasure takes effect a cycle later.
On the day of the report, the three effects are available separately and weighted; the two weeks that cost a full cycle fall away, and corrective action starts 50% earlier.
The 50% earlier start to corrective action is this agent's headline figure. Three effects at work and two weeks to the breakdown describe a typical process in hospital controlling; they were not measured.
The agent calculates what share of the change comes from occupancy, staff costs and non-staff costs. Every share is backed by the underlying analysis.
Surgery department, 3 effects separated, largest share in non-staff costsThe agent ranks the effects by their contribution and shows which one has been moving in the same direction for several months. One-off spikes are separated from the trend.
Ranking with 3 items, non-staff costs per case rising for 4 monthsFor the leading causes, the agent names levers drawn from the available data and the unit in the hospital that is affected. Executive management chooses the measure.
fruehwarnung_chirurgie_04-2026.pdf, 3 levers, one analysis per leverIt presents the weighted causes and possible levers. Executive management decides on the measure.
It breaks down what has been booked and shows the direction of recent months. It makes no forecast.
To the agent, falling occupancy is a figure with a time series. *Whether a question of medical indication lies behind it is for the medical director to clarify.*
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud, private cloud or on-premises. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We establish the realistic effect for your organisation in the assessment before the pilot.