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Healthcare-adjacent services

Sample Healthcare Shadow AI Risk Snapshot

Employees may use public AI tools with patient, claims, benefits, clinical-adjacent, or confidential operational data.

Example findings

  • Shadow AI risk is often hidden because employees do not know what is approved.
  • Sensitive data boundaries should be written in plain language.
  • Vendor review is needed for embedded AI tools and public assistants.
  • Monthly monitoring is useful because tools and workflows change quickly.

Recommended fixes

  • Launch a no-shame AI tool intake form.
  • Separate approved, review-needed, and prohibited AI uses.
  • Create a data-boundary policy for patient, claims, benefits, and confidential data.
  • Review AI vendors and record owner, purpose, data category, and review date.

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