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.
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.
What the scribe captures at each fertility encounter
An IVF cycle is not one appointment. Between the first consultation and a pregnancy test a clinic documents a dozen or more encounters, each with its own shape. A note template that works for a new consultation is the wrong shape for a follicle scan, and a general scribe treats them the same.
The first consultation
History, both partners, and the plan
The longest conversation in the cycle and the one with the most that has to survive it: duration of trying, cycle history, prior pregnancies and losses, surgical and family history, and the same again for a partner who may or may not be in the room. The note has to attribute history to the right person. We draft it into your own consultation template with the plan and the next step already separated out.
Investigation review
Where the numbers become a diagnosis
Ovarian reserve, semen analysis, tubal and uterine assessment, the visit where results from three different systems get read together and turned into a diagnosis and a recommendation. Most of the value is in the reasoning between the numbers, which is exactly the part that never gets typed up. We capture the reasoning alongside the values it rests on.
Cycle planning and consent
Protocol, dose, and what was agreed
Protocol choice, starting dose, what the alternatives were and why this one, the risks discussed, and what the patient agreed to. This is the note a clinic most needs to be able to find again a year later, and the one most likely to be a line of shorthand. We draft the discussion as a discussion, so the record shows the decision and not just the outcome.
The cycle monitoring visit
Short, numeric, and cycle-dependent
Follicle measurements by ovary, endometrial thickness and pattern, estradiol, LH and progesterone, then a dose decision and a date to come back. Five minutes of talking that has to land as discrete, comparable values, because the next visit is read against this one. A note that renders them as prose has lost the cycle. We write them as measurements the record can compare. More in what an AI scribe has to get right at an IVF monitoring visit.
Egg retrieval, embryo transfer, and the embryology conversation
Counts, grades, and what they mean
Oocytes retrieved and mature, fertilization, development to blastocyst, the grade, any PGT-A result, how many were transferred, fresh or as a frozen embryo transfer, and how many were frozen. The hardest conversation of the cycle to document is the one where those numbers are explained to a patient, because what the clinician said about them matters as much as the numbers. We keep both.
Outcome and the next-cycle debrief
Including the cycles that did not work
The beta series, the outcome, and then the review: what happened, what would change next time, what the patient wants to do. Failed cycles are the most under-documented encounters in fertility care and the most consequential for the next one. We draft the debrief with the same care as the consultation, so a later clinician inherits the reasoning.
The nurse teach
Injections, the calendar, and what to do if
The teaching visit before stimulation starts: how to mix and inject, the medication calendar, which symptom means a call and which means the emergency line. A nurse runs it, it is the longest conversation a patient has in the cycle after the consultation, and in most charts it survives as two words, teach completed. We draft it as its own encounter, so the questions the patient asked and the answers they were given are on the record when the nine o'clock call comes.
Donor, surrogacy and embryo-adoption consults
More than two people in the room
Third-party reproduction puts more people in the conversation and more histories in the note: a donor's screening, a gestational carrier's obstetric history, an intended parent's consent, each belonging to a different person. A note that blends them is a privacy problem before it is a clinical one. Donor sperm, donor egg, surrogacy and embryo adoption are their own encounter types in the scribe, what was said is attributed to the person who said it, and the clinician confirms the speakers before signing.
Fertility preservation
Egg freezing, by choice or before treatment
Oocyte or embryo cryopreservation for a patient who is not trying to conceive yet, or who has a cancer treatment starting next week and one cycle to bank what she can. The conversation is about expected yield at her age, how many cycles that implies, what storage costs and for how long, and what happens to what is stored. It is a consultation, drafted into your consultation template, with the decision about storage and disposition kept as a decision rather than a line.
The words a fertility note is written in
A general scribe hears English. A fertility clinic speaks something else.
A reproductive endocrinologist (REI) works in a dialect. Ovarian reserve is an AMH and an antral follicle count. A stimulation is a protocol, agonist or antagonist, a starting dose in units, then an estradiol, an endometrial thickness and a follicle count by side at every scan, and a trigger timed to the hour. An egg retrieval is reported as oocytes retrieved, mature and fertilized, an embryo is a day-5 blastocyst with a grade in the lab's own nomenclature and, more often each year, a PGT-A result, and a transfer is one embryo or two, fresh or frozen, on a medicated or a natural preparation, followed by luteal support and a beta hCG on a date. IUI, ICSI, FET, HSG, hysteroscopy, ERA. A general-purpose scribe transcribes this phonetically and then writes fluent prose around the mishearing, which is the worst failure a note can have, because it reads well.
We treat the dialect as data rather than vocabulary. Each encounter type carries the values its note needs: a cycle monitoring scan wants cycle day, estradiol, endometrial thickness and follicles by side; a retrieval debrief wants oocytes retrieved, mature and fertilized; a transfer note wants embryos transferred, their stage and how the transfer went. While the encounter is running, the scribe shows which of those it has not heard yet, so how many were frozen gets asked in the room and not reconstructed at the desk afterwards. A value lands in the note with its unit or it does not land at all. A grade is written as the embryologist gave it. And every sentence in the draft points back to the line of transcript it came from, so a clinician checking antagonist from tonight is one click from reading it said. None of this replaces the signature. It is what makes the signature quick.
Ambient, dictation, or a person in the room
Three different things get called a scribe, and they fail differently.
Dictation transcribes what a clinician says on purpose, after the visit, accurate, and still an extra task at the end of the day. A human scribe captures the visit as it happens and costs a salary per clinician, which is why the model has never scaled past the practices that can afford it. An ambient AI scribe listens to the encounter itself and drafts from it (the category is also called ambient clinical documentation), so nothing is said twice, and its failure mode is different in kind: it can write a confident sentence the conversation did not support. That is why every sentence we draft is traceable back to the line of transcript it came from, and why a clinician signs before anything enters the record. We have written up the three models in full, including how consent differs between them.
What the first week looks like
No migration, no switchover weekend. The work is templates and consent wording.
Day one is your note templates: we take the formats your clinicians already sign (consultation, monitoring, IUI, IVF and FET) and set the scribe to draft into them rather than into a shape of ours. Day two is the consent script, reviewed with your own counsel, because the clinic is the custodian of the record and the wording has to match the retention setting the clinic chooses. Then one clinician runs it in clinic for a few days with every note reviewed line by line, which is how the template corrections get found. Most clinics are signing scribe-drafted notes in the first week and have the whole team on it within two or three. Nothing is migrated and nothing is switched off, so there is no day on which the old way stops working.
It writes into the EMR you already run
We do not ask a clinic to change its EMR.
The scribe drafts the note, the clinician signs it, and on the platform the signed note is written into your chart by an integration we configure for your clinic during onboarding. Clinics we work with run eIVF, IDEAS, BabySentry, Artisan, MedART and Meditex, and hospital-based programs run Epic or Cerner; we scope the integration to whichever your clinic has. The integration is one-way by design: it writes the signed note into the record and never reads back or alters what is already in the chart. That is the arrangement most clinic privacy officers ask for first, and it keeps the EMR as the system of record. On a scribe seat alone it runs standalone: sign the note, copy it into the chart. There is no data migration, no schema to map, and no switchover weekend, which is why getting started is measured in days rather than quarters. What each plan includes is on the pricing page. What the scribe writes is structured from the start, which is the same foundation our approach to data management for fertility clinics is built on. The scribe is one part of the wider IVF clinic software; what it records is delivered to your record system through EMR integration. On the patient side of the same platform, AI patient support for fertility clinics answers calls and messages, and the AI fertility companion answers patients between visits.
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. How that compares with general scribes is in AI medical scribes for IVF clinics compared.
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.
Does it work for IVF clinics specifically, or is it a general scribe?
Fertility is the only thing it does. There is no general-practice version of this product that a fertility mode was added to: the note templates are cycle templates, the measurements it writes are follicle and endometrial measurements, and the vocabulary is protocols, gonadotropins, grading and PGT. That is a narrower product than a general scribe on purpose. It is also why a monitoring visit comes out as comparable values rather than a paragraph.
Which EMR systems does Fertiligent Scribe work with?
The one your clinic already uses. Integration is configured per clinic during onboarding and comes with the platform rather than a scribe seat. Clinics we work with run eIVF, IDEAS, BabySentry, Artisan, MedART and Meditex, and hospital-based programs run Epic or Cerner; we scope the integration to whichever of these, or another, your clinic has. It is one-way: it writes into the chart and nothing already there is altered. Scribe seats on their own run standalone, and your team copies the signed note across.
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 this different from ambient dictation?
Dictation records a clinician describing the visit, usually afterwards. This listens to the visit itself, so nothing is said twice, no one narrates a consultation they have just had. The trade-off is that an ambient system can draft a sentence the conversation did not support, which dictation cannot. We handle that by tracing every drafted sentence back to the line of transcript behind it and flagging what the encounter did not cover, rather than filling the gap.
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 either way; on the platform the integration is configured during that same onboarding.
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.
Hosting region, subprocessors, the BAA, retention and what happens to your data when you leave are set out in full on the security and data handling page.
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.