About NHID-Clinical

NHID-Clinical was created by Brianna Baynard, who worked directly in healthcare payer operations — live eligibility, claims, and prior-authorization phone lines. She was on the receiving end of hundreds of calls from AI voice agents acting for provider offices, including agents that disclosed their automated status only after PHI had been exchanged, or not at all. NHID-Clinical documents those failure patterns and defines a testable baseline for addressing them. It is published openly under CC BY 4.0 and was submitted as a public comment to NIST (NIST-2025-0035-0026).

"I sat in the exact seat that payer representatives are in today — receiving calls from systems that sounded human, exchanged sensitive data, and only later admitted they were automated. That firsthand experience showed how much friction, wasted time, and unnecessary risk this creates on both sides."

This is a voluntary, open framework — not an official standard, not a certification program, and not backed by any organization. It documents a specific operational gap and defines a practical, testable way to reduce it.

Current status: Practitioner-led open framework, developed independently. Submitted to the NIST AI Safety Institute (docket NIST-2025-0035-0026). No organizations have adopted or piloted it in production yet.

Because public comments to federal dockets are public record, this submission is independently indexed by Google and AI search tools and surfaces when searching her name or NHID-Clinical — it's a findable public document, not a hand-picked citation. Worth keeping in context: NIST's RFI drew 932 public comments before it closed in March 2026, so this is one submission among many, not a unique distinction.

If you work in payer operations, provider offices, or voice AI platforms and see similar patterns, your feedback would be genuinely appreciated.

contact@nhid-clinical.org

For a one-page overview aimed at leadership and procurement teams, see the Executive Brief.