The 2026 Buyer's Guide to AI for Allergy Practices

If you own an allergy practice, you have probably sat through an AI demo this

year. Most of them look impressive. The transcript scrolls, a note appears, and

for ninety seconds the after-hours charting problem feels solved.

Then you ask the demo to handle a real visit — a mother answering for her

child, a 40-well skin test, an immunotherapy schedule adjustment — and the

seams show. This guide is the checklist we wish every allergist had in that

meeting. It applies to every vendor, including us.

1. Does it know allergy, or does it know medicine in general?

Generic scribes are trained on general encounters. Allergy visits are not

general: they hinge on cross-reactivity patterns, build-up schedules, wheal

sizes, and pertinent negatives. Ask the vendor to document a skin prick test

panel and an immunotherapy dose adjustment from a recorded conversation. If

the output needs heavy editing, you have found a general tool wearing a

specialty label.

2. Can you check the note against what was said?

This is the question we consider most important, and the one demos avoid.

A note that reads plausibly is not the same as a note that is supported —

and you cannot tell them apart by reading. Ask: for any line in the draft,

can the clinician jump to the words in the transcript that produced it? Is

an unsupported statement flagged, or buried in fluent prose? If verification

means re-listening to audio, that is not a workflow.

3. Who says what — and does the note know the difference?

An allergy visit often has three voices: the patient, a parent, and your

nurse. A history the parent reported is not a finding you observed. Ask how

the system separates speakers, and what happens to that distinction in the

note.

4. Where does the note go when it is done?

A note that does not land in your EMR is one more copy-paste at 6 PM. Ask

which EMRs have a live, native integration — not "on the roadmap." Then ask

what works standalone if your EMR is not on the list, because an honest

vendor will tell you.

5. Point tool, or practice?

A scribe alone fixes one hour of your day. The rest of the fragmentation tax

— skin testing on paper, phones ringing unanswered, interpreter scheduling —

stays. There is a real argument for starting small; there is also a real cost

to five tools that do not share a patient's context. Decide which you are

buying, on purpose.

6. Who reviews before it counts?

Every serious clinical AI vendor should say the same thing here: the

clinician reviews and signs, always. If a demo implies the AI's output goes

straight to the chart, walk away. Ask also about quality checks between the

model and you — completeness, negation, unsupported-content guards.

7. Will they tell you what it can't do?

Ask for the limits, unprompted. Published accuracy figures with error bars

beat marketing percentages. A vendor who volunteers "the nurse's reading is

always the record" or "SOC 2 audit in progress, not complete" is showing you

how they will behave after the contract too.

Where Medora fits — and our honest answers

We build Medora inside a working allergy clinic, so here are our own answers:

allergy-specific SOAP notes with Evidence Mapping (every supported line links

to the transcript — question 2 is the reason the feature exists);

speaker-separated capture; a live native integration with IMS Meditab, with

documentation and skin testing working standalone on other EMRs; one platform

across documentation, skin testing, interpretation, and front desk sharing a

single patient context; clinician review required on everything, always.

Limits, unprompted: our skin-test reading is a detection assist — the nurse's

measurement is the record. SOC 2 Type II is in progress, not complete. In our

own pilot practice, provider sign-off time fell from roughly 18 minutes to 4

over 60 days and 312 measured skin tests — one clinic's experience, not a

guarantee.

The one-line test

Ask every vendor: "Show me a line in the note, and show me where it came

from." The tools built for the specialty can answer in one click. The rest

change the subject.

What would you add to this list from your own demo experiences?

See it against your own checklist

Request a Medora demo —

we will walk the seven questions on a synthetic patient, including the ones

where our answer is a limit.