Helium Health × Intellign · Bed Management60 patients → 20 beds by condition, ward type & severity · real generated data.See the integration sandbox →
Intellign AI
Active problemBed Assignment60 patients · 20 beds3 goalsReady to optimize
I need to assign admitted patients to hospital beds. Match each patient's condition to the right ward type, and prioritise our most severe patients for placement first.
09:41
Got it — here's what I understand:

patients → beds
Objectives: Match patient condition to ward type · Prioritise higher-severity patients for placement · Respect bed availability per ward

Pick a data source and confirm the goals you care about:
Generate a sample for meI'll upload my data
09:41
Generate a sample for me.
09:42
Generating a realistic sample now — 60 patients and 20 beds.

idnameagerequired_ward_type
1Victor Eze16General Medical
2Aisha Abubakar16.32Orthopaedic
3Chukwudi Okoro16.32Surgical

I've compiled your goals (tune weights in the Goals tab):

Match patient condition to ward type. · 55%
Prioritise higher-severity patients for placement. · 25%
Respect bed availability per ward. · 20%

Shall I run the optimization now?
generate_sample_dataset
09:42
Yes, run it.
09:43
Optimization dispatched via the Genetic algorithm — the canvas shows live progress. Every assignment comes back with a per-decision rationale you can review, approve, or modify.
optimization_started
09:43