Writing on clinical AI safety from Orinyx: testing healthcare AI agents against FDA labeling, pharmacology, and federal guidance, before your users do.
· Lex Hamilton
Checking an AI agent's medication claims means comparing each dose, route and frequency it states with the FDA drug label, using fixed rules instead of another model. Here is what the free Orinyx MCP checks, what it does not, and how to try it.
Read article →· Lex Hamilton
Why drug names, units and routes need semantic structure, what knowledge graphs add, and why accuracy scores alone miss errors in pharmaceutical AI.
Read article →· Lex Hamilton
Orinyx now serves the people who build healthcare AI agents. The free Orinyx MCP opened November 2. Here is what it checks, what it does not, and which failures and feedback changed its design.
Read article →· Lex Hamilton
Orinyx told FDA in docket FDA-2026-N-7874 that independent verification of healthcare AI must reach the AI judge, the agent's trajectory, and the supervisory agent.
Read article →· Lex Hamilton
What consent for an ambient AI scribe actually requires: recording, transmission, retention, and a consent record the documentation tool did not write.
Read article →· Lex Hamilton
What automation bias is, the evidence that human review atrophies when AI checks AI, and how hospitals can keep verification real. Sourced for CMIOs.
Read article →· Lex Hamilton
How Orinyx benchmarks clinical AI: catch, false-flag, and abstain rates, hash-pinned case sets, rotation policy, and the measures planned for agentic systems.
Read article →· Lex Hamilton
CMS has proposed a named Medicare payment category for clinical software, and signaled that future payment rates will track impact on patient outcomes. That turns a vendor's evidence package into a financial instrument, and raises a question procurement has not had to ask before: who measures the outcome that determines the payment?
Read article →· Lex Hamilton
An AI can be correct and conflicted at once. Why Illinois now requires conflict-free AI auditors, and what clinical AI procurement should ask for.
Read article →· Lex Hamilton
An AI system can't verify its own output: generator and checker share the same blind spots. Why clinical AI needs independent verification.
Read article →· Lex Hamilton
A higher accuracy score doesn't close the clinical AI safety gap. Here's what governance does that model training cannot, and why the FDA's 2026 CDS deregulation makes this urgent.
Read article →· Lex Hamilton
A transcript-faithful clinical note can still be clinically wrong. Why that gap matters for AI governance, from Orinyx, an independent safety layer for clinical AI.
Read article →