Notes from building fertility software
Shorter pieces on the lab, on patient apps, on consent and compliance, and on where AI earns its place in a fertility clinic — written by the people building the platform.
Latest posts
IVF Application Development for Hospitals
A hospital guide to IVF application development: patient journey, features, HIS/EMR integration, compliance, and implementation steps.
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IVF lab6 min
Electronic witnessing is a traceability problem, not a barcode problem
Double witnessing protects against mismatch at the bench. It does not, on its own, give you a defensible chain of custody — and the difference matters when someone asks you to prove it.
8 Sep 2026Read → -
AI in practice7 min
What AI should and should not decide in a fertility clinic
The useful applications of AI in fertility care are unglamorous and mostly operational. The tempting ones are clinical, and that is where the governance has to be hardest.
29 Aug 2026Read → -
Compliance7 min
Consent in fertility care is version control wearing a lab coat
Fertility consent is multi-party, time-bound and revocable. Treating it as a signed PDF is how clinics end up unable to answer what a couple agreed to, and when.
21 Aug 2026Read →
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Operational guides in Resources
The blog covers practice and position. For in-depth operational writing aimed at clinic leaders — drop-off, scheduling, multi-branch coordination — head to Resources.
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