LibraryFamily 11 · Administrative Automation
Ambient clinical documentation assistant
Under reviewPilotDeveloping evidence
Undergoing in-depth clinical, technical and governance review.
Transcribes the clinician–patient conversation and drafts a structured clinical note for the clinician to review, edit and sign.
Plain-language summary
AIChoose an audience and generate a tailored summary on demand. The AI uses only what is on this page.
Clinical context
- Clinical problem
- Automate documentation
- Point of care
- Back office
- Nature of AI output
- Generated text
- Clinical specialty
- General practice
- Care setting
- Hospital — outpatient
- Patient population
- Outpatient consultations across general medicine and specialist clinics.
- Intended use
- Transcribes the clinician–patient conversation and drafts a structured clinical note for the clinician to review, edit and sign.
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
- —
- Built on a general-purpose model
- Yes
Deployment
- Status
- Pilot
- Country
- Netherlands
- Deployment date
- 1 November 2024
- Sites
- 2
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
- The clinician reviews, corrects and approves every generated note 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
- 4.5
- Subgroup performance assessed
- No
- Known bias signals
- Transcription accuracy lower for non-native and accented speech; multilingual evaluation in progress.
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Evidence records
Studies and evaluations attached to this use case.
Prospective observational
Time saved: 4.5
Population: Outpatient consultations, minutes saved per encounter
Contributors
- Deploying organisation
- [demo] Erasmus MC · Hospital / health system · Netherlands
- AI vendor
- [demo] Nabla · France
- Product name
- Nabla Copilot