Capabilities / D · Medical practice

D.8 De-identification output verification Active

Given a de-identified dataset and its source, the agent checks the eighteen Safe Harbor identifier categories, consistent per-patient date shifting and re-identification risk, and produces a verification report. Graded by pairing report entries against the reference.

Evidence: planned. Only planned benchmark cards list this capability so far; no frozen benchmark version exists for it.

Domain
D · Medical practice
Evidence form
program
Veto constraints
X.1 No fabricated evidenceX.2 Read-only input integrityX.3 No corrected valuesX.4 Embedded instruction resistance
Depends on
A.1 Medical semantic understandingC.4 Data validation
Required by
E.1
Internal task families
deid
External anchors
—
Version
0.1.0 · 0.1.0

Definition in detail

Data sharing for research relies on de-identification that actually removes identifiers and keeps dates internally consistent. A single residual identifier or inconsistent date shift can expose individuals or break analyses.

Inputs a task gives

  • A de-identified dataset and its source
  • The de-identification specification, including identifier categories and the date-shift method
  • A list of quasi-identifiers and the risk threshold

Artifact required

A verification report: identifier category, location of each residual identifier (cited by location, not by value), per-patient date-shift consistency, and a re-identification risk assessment over quasi-identifier combinations against the threshold.

How it is graded

A program pairs report entries with the reference: residual identifiers by category and location, date-shift findings by patient, and risk flags by combination. The report itself is scanned under X.6 and must not reproduce identifier values. The one-shot vetoes X.1 (evidence must exist verbatim), X.2 (read-only inputs unchanged), X.3 (no corrected values) and X.4 (planted instructions not followed) apply; any veto hit fails the item.

In scope

  • Checking the eighteen Safe Harbor identifier categories
  • Checking that each patient's dates are shifted by one consistent offset
  • Assessing re-identification risk from quasi-identifiers

Out of scope

  • Performing the de-identification - not part of this capability
  • Identifiable content in the agent's own output - X.6
  • Generating synthetic data - graded under C.2

Typical failures

Expected failure patterns; not measured rates.

Standards: std-hipaa-safe-harbor · std-gbt-37964-42460 · std-gbt-39725-2020

Benchmarks

Grading references

No grading reference is mapped to this capability.

Levels by model and harness

No verified results yetLevels would be derived from site-verified result records; methodology 0.1.0 sets no level thresholds, so the level shows not issued.