Flow forecasting
Admissions estimated days ahead from history, seasonality and events: peaks are prepared for, not suffered.
Sectors · Healthcare
Predict the peaks. Protect the care.
Agents forecast flows and propose rosters, theatres and pathways; clinicians decide. Waits get shorter without asking more of those who care.
Healthcare does not lack data. It has too much, in pieces.
Admissions, stays, rosters, theatres, lists: each system photographs one piece, none shows the whole. So peaks are discovered when they are already in the corridor.
A single operating model of the organisation lets agents forecast flows days ahead and propose the allocation of people and spaces. Every clinical and organisational choice stays with those responsible for it.
Sectors
An example, step by step.
data
Emergency-room flows keep growing.
agent
The agent predicts peaks and proposes rosters.
outcome
Shorter waits. Wards covered.
Where to start.
Rosters, theatres and resources
Allocation of staff, theatres and beds proposed on forecast flows, within contractual and clinical constraints.
Waiting lists and pathways
Transparent list prioritisation and monitored care pathways: bottlenecks surface before they stretch the waits.
Trust is built on data.
Healthcare organisations and care providers, starting from Emilia-Romagna — with the Mirandola biomedical district next door. Health data processed in Europe, GDPR by design, clinical control over every decision.
Other sectors
Manufacturing Energy Logistics Public sector Defence
The first step
Operational from week one.
A real use case, on your data, in production. Then it grows, week after week.
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