Writing on clinical AI safety from Orinyx: verifying medication recommendations against FDA labeling, pharmacology, and federal guidance before a doctor signs.
· 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 →