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Synthetic working data

Explore the starter data

We used AI-assisted research to investigate the published sources, then created 20 non-sensitive synthetic records shaped by what those sources expose. It is starter data for exploration—not real service data or evidence.

Read the note on this dataset

Twenty invented, banded waiting counts standing in for the quarterly specialty figures a health and social care trust already holds, so the demand and capacity task can be looked at without them.

Every record in the file

Inspect, compare, understand

Use 20 synthetic waiting records to explore a hospital planning question without holding health and social care trust data. Switch views without losing the description, source file, or limitations on this page.

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SYN-HO-01General surgery2025-Q30-6 weeks2500-5000
SYN-HO-02General surgery2025-Q3over 52 weeks10000-20000
SYN-HO-03Trauma and orthopaedics2025-Q314-26 weeks5000-10000
SYN-HO-04Trauma and orthopaedics2025-Q4over 52 weeks20000-30000
SYN-HO-05Ear, nose and throat2025-Q47-13 weeks2500-5000
SYN-HO-06Ear, nose and throat2025-Q427-52 weeks5000-10000
SYN-HO-07Ophthalmology2025-Q40-6 weeks1000-2500
SYN-HO-08Ophthalmology2026-Q1over 52 weeks10000-20000
SYN-HO-09Urology2025-Q414-26 weeks2500-5000
SYN-HO-10Urology2026-Q127-52 weeks2500-5000
SYN-HO-11Cardiology2025-Q40-6 weeks1000-2500
SYN-HO-12Cardiology2026-Q127-52 weeks5000-10000
SYN-HO-13Dermatology2025-Q47-13 weeks2500-5000
SYN-HO-14Dermatology2026-Q1over 52 weeks10000-20000
SYN-HO-15Gastroenterology2026-Q114-26 weeks2500-5000
SYN-HO-16Gastroenterology2026-Q1over 52 weeks5000-10000
SYN-HO-17Neurology2026-Q127-52 weeks2500-5000
SYN-HO-18Neurology2026-Q1over 52 weeks5000-10000
SYN-HO-19Rheumatology2026-Q10-6 weeks500-1000
SYN-HO-20Rheumatology2026-Q114-26 weeks1000-2500
Synthetic working data

AI-assisted research helped identify and interpret the published sources. We then created a small, non-sensitive synthetic dataset shaped by the information those sources expose. It is for exploration—not evidence, training, or operational decisions.

Method note

How it was prepared

AI authored fictional specialty, quarter, wait-band, and count-band values in the shape of published statistics.

Conditions for use

What this dataset cannot tell you

  • The numbers are invented bands, not rounded real figures, so nothing here should be quoted as how long anyone in Northern Ireland is waiting.
  • Real planning needs arrivals, beds, staffing, and discharge delays together, and this file has only one of those.
  • A tidy quarterly table hides the day-to-day movement and the individual circumstances that actually decide when someone leaves hospital.
  • It is invented. No record describes a real person, place, case, or measurement, and no result computed from it is evidence that anything works in a live service.