LibraryFamily 11 · Administrative Automation
Ambient scribe for outpatient diabetes clinic
Under reviewActive deploymentDeveloping evidence
Undergoing in-depth clinical, technical and governance review.
Transcribes the consultation, drafts the SOAP note and pre-populates the discharge letter for clinician review and signature.
Plain-language summary
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Clinical context
- Clinical problem
- Automate documentation
- Point of care
- Back office
- Nature of AI output
- Generated text
- Clinical specialty
- Endocrinology
- Care setting
- Hospital — outpatient
- Patient population
- Adults attending an outpatient diabetes follow-up consultation.
- Intended use
- Transcribes the consultation, drafts the SOAP note and pre-populates the discharge letter for clinician review and signature.
Technology
- AI technique
- NLP / large language model
- Input data
- Clinical notes / free text, Patient-reported data
- Output type
- Generated text
- Autonomy level
- Human in the loop (human acts)
- Model provenance
- Vendor proprietary
- Model version
- copilot-3.4
- Built on a general-purpose model
- Yes
Deployment
- Status
- Active deployment
- Country
- United Kingdom
- Deployment date
- 8 January 2025
- Sites
- 1
Regulatory & governance
- EU AI Act risk tier
- Limited 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
- Consent
- GDPR DPIA
- Completed
- Data identifiability
- Pseudonymised
- Explainability method
- None
- Human oversight model
- Every generated note is reviewed, edited and signed by the consulting clinician before it enters the record.
NICE evidence standards
- ESF tier
- Tier A — system / service
- Evidence category
- Category 1
Performance summary
- Headline metric
- Time saved
- Value
- 6
- Subgroup performance assessed
- No
- Known bias signals
- Lower transcription quality for strong regional accents; ongoing evaluation across UK regions.
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Evidence records
Studies and evaluations attached to this use case.
Prospective observational
Time saved: 6
Population: Diabetes outpatient pilot — minutes saved per consultation
Contributors
- Deploying organisation
- [demo] Oxford University Hospitals NHS FT · Hospital / health system · United Kingdom
- AI vendor
- [demo] Nabla · France
- Product name
- Nabla Copilot