Structured notes that understand allergy. Skin tests measured from photos, reviewed by nurses. Cross-reactivity surfaced during the visit. One patient context across all of it.
Over 1,000 FDA-cleared AI medical devices exist — none built for allergy. Medora is the AI layer the specialty has been missing, built inside a working allergy practice.
Four jobs, all live in production — none of them experiments
Ambient capture during the visit becomes a structured SOAP note with allergy-specific assessments, pertinent negatives, and per-diagnosis plans. Every line traces back to the conversation.
The nurse photographs the panel; AI suggests per-site wheal and flare measurements with confidence scores and pre-fills the sheet. The nurse reviews every reading — AAAAI conventions throughout.
AllergenIQ surfaces clinically relevant cross-reactivity patterns during the visit — not after it — from the same patient context the Scribe and skin testing already share.
Spanish-speaking visit? The patient scans a QR code and sees the conversation in Spanish on their own phone — no phone vendor, no third party on the call. The note still generates in structured English.
Allergy is a specialty of structured measurement and dense terminology. General-purpose tools weren't built for it.
Wheal versus flare. Histamine controls. Build-up versus maintenance immunotherapy. Oral allergy syndrome versus true food allergy. Generic models transcribe these wrong — or worse, paper over them.
A scribe that doesn't know what the SPT measured writes an incomplete note. Allergy decisions hinge on structured measurements that generic documentation AI never touches.
Most medical AI is built in an office and demoed in a lab. Medora was built inside a working allergy practice, by an engineer-founder and a board-certified allergist, and is used there for real patient care every day.
Assistive, honest, and accountable — or it doesn't ship
Every skin-test measurement is nurse-reviewed. Every note is provider-signed. The AI suggests; the clinician decides.
We publish real accuracy numbers from clinical use, not marketing claims — and we say plainly what we're still improving.
Every nurse correction becomes training data. The system the clinic uses today gets measurably better every week it's used.
Evidence Mapping links every SOAP line to the moment in the visit it came from. If it isn't in the audio, it isn't in the note.
Straight answers, the same ones we give in demos
AI built specifically for allergy practice — documentation that knows the terminology, skin-test measurement from photos, cross-reactivity intelligence, and interpretation, sharing one patient record. Not a generic medical model with allergy bolted on.
No. Medora is assistive by design: the AI suggests, the clinician decides. Nothing is finalized without a human — not a measurement, not a note, not a result.
On skin-test panels, AI measurements currently land within 1 mm of the nurse about 80% of the time — real numbers from real use. Every correction feeds the training loop, so it improves continuously.
HIPAA-compliant infrastructure, signed BAA, encrypted at rest and in transit. Medora is assistive workflow software — it does not diagnose, and it is not a diagnostic device. The clinician makes every clinical decision.
Watch a real visit go from conversation to signed, evidence-linked note — and a real skin test panel go from photo to structured result. Then ask us anything, including what doesn't work yet.