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iatroX JournalClinical AI

Heidi Health vs Tortus AI: Comparing Ambient Scribes for GP Practices

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Updated 10 November 2026.

Two leading UK AI scribes with different positioning.

TORTUS describes organisational deployment and partner integrations, including primary-care routes. It reports UKCA Class IIa certification dated 24 June 2026, so “Class IIa pending” is outdated. Check the selected workflow, commercial route and local evaluation; partner reach is not proof that every eligible practice routinely uses the product.

Heidi Health offers individual and organisational routes. Its documentation, Evidence, integrations and Remote hardware need separate assessment. UK/EU Evidence is not an in-session patient-context function; check account eligibility and local permissions. Heidi’s regional guide.

For Practice Procurement

Compare the exact intended purpose and deployment evidence. TORTUS reports UKCA Class IIa certification, while Heidi’s UK Scribe terms identify Class I registration for documentation support. Neither registration nor a partner’s potential reach establishes superior note accuracy, reliability or local approval.

Heidi’s free access can make a bounded evaluation easier, within the organisation’s approved arrangements. It does not permit independent clinical deployment without checking local information governance and the selected integration.

For GP Trainees

If your practice uses Tortus, you benefit from the time savings immediately — 4 minutes per consultation across a 25-patient surgery recovers nearly 2 hours. The referral letter drafting is particularly useful for trainees who spend significant time composing referrals.

If your practice does not provide TORTUS, discuss an appropriate documentation trial with the service before using Heidi. Confirm the recording, review and note-transfer arrangements in each workplace.

Where iatroX Fits

Ambient scribes handle documentation. iatroX handles learning. They address different halves of the GP workload problem — use the time scribes save for adaptive revision and clinical knowledge building.

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