The Complete AI Medical Scribe for Fertility & IVF Clinics
One AI scribe for the whole fertility journey — documenting every encounter, referral, call, and message, and turning it into a structured record your clinicians simply review and sign. Built for fertility, with your team in control and your data your own.
Today it documents the consultation, reads your referrals, and captures every patient call and message. This is where it's going: the scribe that does the entire documentation job, so your team can get back to care.
Watch the scribe work
Consent, ambient capture, a draft note traced line by line to the transcript, and the sentences it refuses to guess at. The consultation shown is fictional.
Fertility teams drown in paperwork
Clinicians spend nearly six hours a day in the EHR — about half of it on clerical work.
The evidence is clear. Across published clinical evaluations, AI scribes have cut charting time by 10–70% and lowered clinician burnout — from 51.9% to 38.8% in a multicenter JAMA study — saving roughly three hours of after-hours admin a week, with clinician oversight of every note. A scribe built for fertility should relieve that burden across the whole journey: referrals, consults, monitoring, calls, and patient messages.
What a complete fertility scribe does
The whole documentation job — from the first referral to the after-visit summary — with your clinicians in control.
Documents every encounter, hands-free
Consults, monitoring visits, calls, and chats
It captures the consult and monitoring room the same way it captures every patient call, text, and web chat — transcribed, summarized, and logged, so no one is typing while they should be caring for a patient.
From referral to structured record
OCR intake, structured for you — today
Faxed, scanned, or uploaded referrals — handwritten or typed — are read by OCR, structured, and written as clean, discrete data into your system. Your team confirms only the fields the AI flags, instead of retyping documents.
Writes the note in your template
Ready to review and sign
Each encounter becomes a structured clinical note in your clinic's own fertility formats — initial consult, monitoring, IUI, IVF, and FET cycles — drafted and ready for a clinician to review and sign, not a free-text blob to clean up.
Speaks fertility
Cycles, protocols, labs, embryology
It understands the language of the field — cycles, protocols, medications, monitoring, embryology and PGT results — and files every detail to the right place in the record, so your data is structured and reportable from the start.
Codes the visit and closes the loop
Codes, orders, tasks, follow-ups
Beyond the note, it suggests diagnosis and billing codes, drafts orders and prior authorizations, and turns the plan into tasks, bookings, and follow-ups — so nothing falls through the cracks between visits.
Drafts the patient's after-visit summary
Clear, plain-language, multilingual
It writes a clear after-visit summary and follow-up instructions in the patient's own language — ready for the clinician to approve and send — so patients leave every touchpoint knowing exactly what happens next.
Nothing to rip out, nothing to migrate
The scribe runs beside the system you already use, whatever it is.
Your EMR stays exactly where it is. The scribe listens to the consultation, drafts the note, and hands it to a clinician to review and sign — then your team puts the signed note where it always goes. There is no data migration, no schema to map, and no switchover weekend, because nothing about your existing record system has to change for this to start working. That is also why getting started is measured in days rather than quarters: the only setup is your note templates and your clinicians.
Built the right way
A scribe you can trust with the most sensitive records in medicine.
Your clinicians stay in control
Draft, review, approve
Every note, code, and order is a draft for a human to review and approve. Nothing is finalized without a clinician, every action is audited, and clinical judgment stays yours.
Built for fertility
Not a generic scribe bolted on
It's designed around the fertility journey and its data — couples, cycles, donors, labs, and long treatment arcs — so the notes, codes, and records match how fertility care actually works.
Your data stays yours
Sovereign, private, auditable
The most sensitive records in medicine stay under your control — with regional and on-premise hosting options, privacy aligned to PHIPA and HIPAA, consent tracked per channel, and a full audit trail.
Questions clinics ask us
The ones that come up in the first call, answered as directly as we can.
Which EMR systems does Fertiligent Scribe work with?
The scribe sits alongside your existing EMR rather than replacing it — the note is drafted, reviewed and signed in Fertiligent, and your team puts it where it needs to go. We do not have live integrations to announce yet, and we would rather say that than list names we cannot stand behind. Tell us which system you run; that is usually the first thing we look at.
Who signs the note?
Your clinician does. The scribe produces a draft in which every sentence is traced back to the line of transcript it came from, and it flags anything the consultation did not support rather than filling the gap. Nothing enters the record until a clinician has reviewed and signed it.
Does it cover more than the consultation?
Yes. Today it documents the consultation, reads incoming referrals into a structured record, and captures patient calls and messages. Monitoring visits are handled with cycle-aware measurements so the note carries what a monitoring visit is supposed to carry.
How is patient consent handled?
Consent is captured before recording starts, and the patient can decline — in which case nothing is recorded and your clinician documents the visit exactly as they do today. If a patient withdraws afterwards, the audio is destroyed rather than flagged. The consent wording itself is reviewed with each clinic and its own counsel before go-live, because the clinic is the custodian of the record.
What happens to the audio after the note is written?
By default it is deleted as soon as the transcription completes — the retention period ships set to zero days, so keeping audio is something a clinic switches on deliberately rather than something it has to switch off. If you do set a retention period, the consent script the clinician reads changes to match it, and the system refuses to record at all if no approved wording describes the setting truthfully.
How long does it take to get running?
Days to a couple of weeks for a first clinic. Most of that is setting up your note templates and getting clinicians comfortable with the review and sign-off step — there is no EMR migration to wait on, because the scribe runs alongside what you already have.
How much time does it actually save?
We don't publish our own figures yet. The independent evidence on ambient AI scribes reports documentation-time reductions ranging from about 10% to 70% depending on setting, and a measurable drop in clinician burnout — the sources are footnoted above. We'd rather you measure it on your own referrals and calls than take a number from us.
Can we see it before we commit?
Yes — book a demo below and bring your own de-identified referrals and call recordings. There is also a live demo you can try yourself at fertiligent.ai/demo, which runs on a fictional clinic with synthetic data.
Which languages and accents does it handle?
Each clinic is configured for one transcription language; the default is Canadian English. Other languages Azure Speech supports can be set up for your clinic. It does not currently switch between languages inside a single consultation, so a genuinely bilingual encounter is not something we would claim to handle well yet.
See it on your own referrals and calls
Book a short demo and watch Fertiligent document a consultation, read a referral, and summarize a call in real time — then see the roadmap to the complete scribe.
Bring your own de-identified referrals and call recordings if you have them. Nothing you send here is used for anything but arranging the demo.