Use the SART-standard age bands (under35, 35-37, 38-40, 41-42, over42) for live-birth rate per intended retrieval. Going more granular than this confuses patients and risks misrepresenting small-sample numbers. Always link out to the underlying SART report so patients can verify the figures themselves.

SART does not publish per-protocol breakdowns. If the clinic publishes internal protocol-specific data, show it with a clear sourceLabel column distinguishing internal clinic data from SART data. Mixing the two without labels misleads patients who assume all numbers come from the same registry.

Add a pgtCapability column distinguishing PGT-A (aneuploidy screening), PGT-M (monogenic disease screening), and PGT-SR (structural rearrangement). These are different procedures with different costs and ethical contexts. Surfacing them as separate pills helps patients with genetic-condition concerns find appropriate clinics.

SART reports require minimum cycle counts. New clinics or low-volume practices may legitimately show 'not yet reported' or 'volume too small to publish' for some age bands. Render this transparently with a 'reporting threshold not met' note rather than leaving the data blank, which patients misread as concealment.

Yes. Add embryoBanking boolean and timeToTreatment numeric (typical weeks from consultation to retrieval) columns. Wait times are a meaningful filter for patients with diminished ovarian reserve who cannot afford a long delay. Render as a stat block on each clinic page.

Donor egg IVF has dramatically different success-rate profiles than autologous IVF, and SART reports them separately. Add a donorEggSuccess column and a separate donor-egg page group hub. Mixing donor and autologous data anchors patient expectations incorrectly in either direction.

Yes. Add an inNetworkFor array column with Maven, Progyny, Carrot, and similar benefit-platform names. Patients with employer fertility benefits filter to in-network IVF clinics quickly, and the directory becomes a discovery tool for benefit recipients evaluating their network.

The same page-group pattern handles international clinics with a country segment. Spain, Greece, Czech Republic, and Mexico are major destinations for US patients. Add currency-aware pricing and country-specific legal-context blocks (donor anonymity laws vary widely) per country to keep the data honest.