LibraryFamily 18 · Supply Chain & Asset Management
Operating-theatre instrument inventory forecast
CuratedPilotEmerging evidence
Reviewed for completeness and published to the Library.
Forecasts daily surgical-instrument demand from the elective schedule and historical usage, prioritising sterilisation cycles and reorder windows.
Plain-language summary
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Clinical context
- Clinical problem
- Optimise a process
- Point of care
- Back office
- Nature of AI output
- A prioritised list
- Clinical specialty
- Operations & administration
- Care setting
- Back office
- Patient population
- Surgical caseload across the operating theatre department.
- Intended use
- Forecasts daily surgical-instrument demand from the elective schedule and historical usage, prioritising sterilisation cycles and reorder windows.
Technology
- AI technique
- Classical machine learning, Statistical model
- Input data
- Structured EHR data, Claims / administrative data
- Output type
- Prioritisation / schedule
- Autonomy level
- Informs a human (advisory)
- Model provenance
- Built in-house
- Model version
- inv-1.0
- Built on a general-purpose model
- No
Deployment
- Status
- Pilot
- Country
- Spain
- Deployment date
- 10 April 2025
- Sites
- 1
Regulatory & governance
- EU AI Act risk tier
- Minimal risk
- High-risk basis
- Not applicable
- Medical device
- No
- EU MDR class
- Not a device
- CE marking
- Not required
- FDA status
- Not applicable
- ISO 14971 risk class
- Low
- GDPR processing basis
- Legitimate interest
- GDPR DPIA
- Not required
- Data identifiability
- Anonymised
- Explainability method
- Intrinsic
- Human oversight model
- Sterilisation lead reviews the daily plan before publishing.
NICE evidence standards
- ESF tier
- Tier A — system / service
- Evidence category
- Category 1
Performance summary
- Headline metric
- Time saved
- Value
- 8
- Subgroup performance assessed
- No
- Known bias signals
- —
Similar deployments
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Evidence records
Studies and evaluations attached to this use case.
Retrospective validation
Accuracy: 0.92
Population: 12-month historical OR caseload
Contributors
- Deploying organisation
- [demo] Hospital Clínic de Barcelona · Hospital / health system · Spain
- AI vendor
- —
- Product name
- —