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Mostly about building products, healthcare tech, and lessons learned along the way.
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Mostly about building products, healthcare tech, and lessons learned along the way.
3 articles on llm evals.

PHI redaction for LLMs: score recall per Safe Harbor identifier, gate MRN and SSN at 100%, and choose a date policy on purpose.

Split the note into claims, cite each to a FHIR resource, and reject empty or truncated output before a clinician signs.

Most teams skip real evals and wonder why their AI products degrade in production. The framework that holds up: from 30-minute manual reviews to binary scoring to knowing when your eval suite is finally doing its job.