NHID-Clinical

NHID-Clinical v1.2 (Working Draft)

Status: Working Draft Author: Brianna Baynard Date: March 2026 Based on: NHID-Clinical v1.1 Candidate


Section Updates & Issue Resolutions

1.3.1 Handling IVR Interruptions & Timeouts (Resolves Issue #3)

Problem: Payer IVRs with short timeouts or barge-in logic cut off the AI’s disclosure. Resolution: When calling an automated Payer IVR, the Provider AI Agent is permitted to modify the disclosure timing to accommodate strict timeout windows (e.g., <3 seconds).

The “Combined Turn” Exception: If a Payer IVR interrupts the AI or times out during the standalone disclosure, the AI Agent is permitted to combine the Identity Disclosure and the Operational Data into a single speaking turn on the retry.

Retry Logic: The AI MUST attempt standalone disclosure at least once. If the IVR indicates a “No Match” or “Timeout” error, the AI initiates Resilience Mode for subsequent turns.

1.5 Bot-to-Bot Interaction Workflow (Resolves Issue #1)

Problem: Deadlocks occur when a compliant Provider AI reads a disclosure to a Payer IVR that expects immediate data input. Resolution: If the Provider AI detects that the answering entity is also an automated system (IVR/Bot) via silence patterns, audio fingerprinting, or signaling:

  1. Modified Disclosure: The Provider AI remains bound by the Requirement to Disclose but MAY condense the disclosure string to the shortest distinct phrase (e.g., “Automated Caller”).
  2. Deadlock Prevention: If the Payer IVR fails to acknowledge the disclosure after 2 attempts, the Provider AI is permitted to proceed to Data Exchange to prevent a deadlock loop, provided that the call is logged as “Automated-to-Automated” in the Audit Trail.
    • Rationale: Impersonation risk is nullified when no human is present to be deceived.

2.4.1 Failover Confirmation Logging (Resolves Issue #5)

Problem: Voicemails and callbacks often fail silently, creating liability for missed filing deadlines. Resolution: To prevent “silent failure,” the AI Agent MUST log a positive confirmation artifact for all failover events.

3.2 Escalation Transfer Tiers (Resolves Issue #4)

Problem: Not all call centers support “Warm Transfers” with data context, leaving AI agents unsure how to escalate compliantly. Resolution: The standard recognizes two compliant methods for handing off context to a human agent. Organizations MUST implement at least one.

Type A: Warm Transfer (Preferred)

Type B: Cold Transfer with Verbal Handoff (Minimum Viable)

4.3 Network-Layer Identity / Tier 3 Evidence (Resolves Issue #2)

Problem: Audio-only disclosure is prone to transcription errors in VoIP/SIP environments. Resolution: For VoIP-native interactions, entities MAY implement Tier 3 Identity Assertion using standard SIP headers. This serves as cryptographic proof of identity, bypassing the need for audio transcription verification.

Standard Header Format:

Verification: If a Payer system receives valid Tier 3 headers, they MAY cryptographically whitelist the Agent and bypass audio CAPTCHAs or verbal verification steps, effectively reducing Impersonation Latency to zero.