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SpraakLab B.V. (Nijmegen, Netherlands)Tell James
Dutch software for voice-driven reporting in long-term care. Care staff dictate their reports; Tell James converts them into written text with paragraphs, bullet points and SOEP structure, directly in the electronic client record.

- Provider based in the Netherlands
- Publishes certification/GDPR safeguards
Last checked: 10 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Voice-driven reporting in the EHR
Automatic SOEP structure and paragraphs
Spoken language converted to written language
Proprietary speech recognition models
No cloud storage, no training on data
Integration with Nedap, CareConnections, Medicore
ISO 27001 and NEN 7510 certifiedComparable in elderly care & long-term care
Attendion request
G2 Speechon request
Tessa (Tinybots)on request (often reimbursed via the…
Autoscriberon request
Ecare PUURon request
Kepler Night Nurseon requestTell James compared
proprietary speech recognition models with a care glossary (no external language model provider named). Audio and text are processed in memory only and not stored; ISO 27001, ISO 9001, NEN 7510. Many tools build on a large model from providers such as OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about Tell James
- Which AI model does Tell James use?
- The maker of Tell James does not disclose which AI model sits underneath. Proprietary speech recognition models with a care dictionary (no external language model provider named). Audio and text are processed in memory only, not stored; ISO 27001, ISO 9001, NEN 7510.
- How much does Tell James cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Tell James for?
- Tell James is aimed at elderly care & nursing homes, mental health & psychology, healthcare, social domain & youth care. It fits work such as voice-driven reporting and consultation notes in the EHR, care planning, optimising rosters and neighbourhood routes, and fall detection and living-pattern monitoring in care homes and home settings.
- What should I watch out for with AI in elderly care & long-term care?
- You work with special category personal data (health) of vulnerable clients who often cannot consent well themselves. Choose providers with NEN 7510 and ISO 27001, EU hosting and a data processing agreement, and check whether voice recordings are stored or used for training. Cameras and sensors call for a DPIA, a case-by-case assessment per client (care plan, Wet zorg en dwang) and clear agreements on who sees images or alerts. Reports drafted by AI remain the responsibility of the care worker: always read them back before saving.
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