_1751731246795-BygAaJJK.png){kind=logo}
Healthcare for Startups
Playbooks and case studies covering healthcare for startups.
Questions to Ask Before Hiring an AI Healthcare Data Partner
Most healthcare AI vendors can recite the HIPAA checklist. Far fewer can show you a production HL7 parsing failure and the architecture change they made because of it. Here are the questions that surface the difference.
5 Mistakes We Made Shipping AI to a Live Pharmacy Marketplace
A field-level post-mortem on what breaks when AI substitution, routing, and recommendation features hit a real e-pharmacy catalog. Five specific mistakes, the symptoms you'll see in production, and how to recover without rolling everything back.
Ship a Drug Interaction Alert With a Local LLM in 7 Steps
A runnable tutorial for CTOs at e-pharmacy startups who need drug interaction alerts without sending patient data to OpenAI. Uses Mistral 7B locally, a versioned interaction dataset, and citation-grounded extraction.
Questions to Ask Before Hiring an AI Development Partner for Healthcare
Every AI vendor claims healthcare experience. Here are 15 specific questions that separate teams who have actually shipped under HIPAA, HL7, and clinical scrutiny from those who built a wellness app and are overstating their credentials.
Fine-Tune a Prescription NER Model on 500 Labeled Lines
Off-the-shelf medical NER models choke on regional brand names, OCR noise, and mixed-language prescriptions. Here's how to fine-tune your own with roughly 500 labeled lines and a free afternoon.
Vector Search Is Not Semantic Search (And the Difference Costs You)
Your vector-powered drug lookup demos beautifully but returns clinically wrong matches in production. The gap between vector search and real semantic search is where health-tech features quietly break.