healthcare-compliance

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Use when drafting or reviewing any Tebra content that mentions clinical outcomes, treatment efficacy, patient data, competitor medical claims, PHI, or FDA/AMA/HIPAA-regulated subject matter.

nice-and-precise By nice-and-precise schedule Updated 4/22/2026

name: healthcare-compliance description: Use when drafting or reviewing any Tebra content that mentions clinical outcomes, treatment efficacy, patient data, competitor medical claims, PHI, or FDA/AMA/HIPAA-regulated subject matter.

Healthcare Compliance

Overview

This skill guides in-flight self-checking during draft writing. The PreToolUse hook (scripts/compliance_check.py) enforces the same rules deterministically at commit time — this skill helps avoid generating claims that will be blocked there.

Medical Claim Detection

A medical claim is any statement that asserts, implies, or quantifies a health outcome. Flag any sentence matching these patterns before writing:

  • Percentage + clinical metric: "reduces A1C by X%", "lowers readmission rate"
  • Mortality or morbidity language: "reduces deaths", "prevents complications"
  • Diagnostic accuracy: "detects X% of cases", "misses fewer diagnoses"
  • Survival or prognosis framing: "improves survival", "extends life"
  • Regulatory body name + product: "FDA-approved", "CMS-compliant" (must be sourced)

Every medical claim requires a registered source. Check /sources/registry.json before writing. If no source exists, write around the claim or request source registration.

PHI Scrub Rules

Remove or redact any content matching these patterns before committing a draft:

Category Examples Action
Patient names Full name, initials + DOB combination Delete or replace with [PATIENT]
MRN / encounter IDs Any numeric ID pattern from a clinical system Delete
DOB or age + diagnosis "65-year-old with diabetes" Generalize: "older adult patient"
Geographic identifiers ZIP, city + condition combination Drop geographic detail
Provider name + patient Any provider linked to a specific patient record Redact provider name

See references/phi-detection-rules.md for full regex patterns.

FDA / AMA / HIPAA Guardrails Summary

Rule What it means in practice
FDA off-label claims Do not claim a Tebra product treats, diagnoses, or monitors a specific condition unless that claim appears in an FDA-cleared source
AMA clinical guidelines Do not paraphrase AMA guidelines as Tebra recommendations without an explicit citation
HIPAA safe harbor Use only the 18 de-identification categories from references/phi-detection-rules.md; do not invent "anonymized" redactions
No testimonial-as-outcome A customer quote ("we saw improvement") is not a clinical claim; a statistic derived from it is

Self-Check Before Writing a Claim

  1. Does this sentence make a health-outcome assertion?
  2. Is there a source in /sources/registry.json that supports it exactly?
  3. Does the draft's claims_cited[] block reference that source_id?

If any answer is no — rephrase as a practice-efficiency claim, or omit and flag for source registration.

References

  • references/approved-sources-policy.md — authority tiers and source vetting criteria
  • references/banned-claim-patterns.md — regex list of patterns that will trigger the compliance hook
  • references/phi-detection-rules.md — HIPAA safe harbor categories and regex patterns

Common Mistakes

Mistake Fix
Citing a source not in registry Register source first; source_id in draft must resolve
Using a customer quote as a clinical stat Quotes prove sentiment; statistics need a study source
Writing "HIPAA-compliant" without a source Link to a registered regulatory document or remove
Borrowing competitor's FDA claim for Tebra Tebra's clearance is independent; source Tebra's own
Install via CLI
npx skills add https://github.com/nice-and-precise/tebra-content-os --skill healthcare-compliance
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