Auditing 21 CFR Part 11 trails for OpenMed pipelines
SkillCloud & infraLets your agent create and check tamper-evident audit trails with timestamps and signatures for regulated medical workflows.
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Then ask your AI: use the Auditing 21 CFR Part 11 trails for OpenMed pipelines skill
About this capability
Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings. Use when the user runs OpenMed in a regulated/validated environment and needs an attributable, time-stamped, tamper-e
What this skill tells your AI
The instructions your AI receives, as published by maziyarpanahi/openmed in skills/auditing-part11-trails/SKILL.md and read by ahel’s review.
In FDA-regulated GxP work (GCP clinical trials, GLP, GMP) any electronic record used to support a regulatory decision must meet 21 CFR Part 11: it has to be attributable (who), contemporaneous and time-stamped (when), describe what changed, be tamper-evident, and — where a signing event occurs — carry a controlled electronic signature. These map onto the ALCOA+ data-integrity expectations (Attributable, Legible, Contemporaneous, Original, Accurate, +Complete/Consistent/Enduring/Available).
OpenMed's deidentify(..., audit=True) already emits a deterministic,
PHI-free AuditReport that you can .sign() (HMAC-SHA256) and later
.verify(). That gives you the tamper-evidence and attribution primitives;
this skill wraps them in the who/when/what/e-signature envelope Part 11 wants.
This is a compliance-enablement aid. Part 11 compliance also requires validated systems (CSV), SOPs, and access controls that live outside any single library — a QA/validation lead signs off.
When to use
- OpenMed runs inside a validated/GxP environment and each run must leave an attributable, tamper-evident record.
- You need to wrap an OpenMed
AuditReportwith who/when/what + an e-signature manifestation (meaning, signer, timestamp). - You must verify a stored trail hasn't been altered, or produce CSV evidence for an inspection.
How OpenMed's AuditReport maps to Part 11
| Part 11 expectation | 21 CFR cite | OpenMed mechanism |
|---|---|---|
| Tamper-evident, accurate copies | 11.10(b),(c) | AuditReport.to_json() + repro_hash over the canonical payload |
| Audit trail: what changed, when | 11.10(e) | AuditReport.spans (action per identifier), input_hash/deidentified_text_hash, openmed_version, manifest_hash |
| Operational/authority checks; attribution | 11.10(d),(g) | AuditSignature.key_id (signer/key identity) + your envelope's user id |
| Signature manifestation (name, date, meaning) | 11.50 | Your envelope fields signer, signed_at, meaning |
| Signature/record linking, non-repudiation | 11.70, 11.200 | HMAC-SHA256 over the canonical payload via .sign() / .verify() |
The HMAC binds the signature to that exact report content: any later edit to a
span, hash, or field changes repro_hash, so .verify() fails — that is the
tamper-evidence.
Quick start
import openmed, json, datetime as dt
note = "Subject S-014 (DOB 1962-08-09) reported headache on 2024-05-01."
# 1) Produce the deterministic, PHI-free audit record for this processing step.
report = openmed.deidentify(note, policy="hipaa_safe_harbor", audit=True)
# 2) Sign it with a controlled release key (stored in a vault / HSM, never in code).
report.sign(b"<release-hmac-key>", key_id="omv-signer-2026")
# 3) Wrap in a Part 11 envelope: who / when / what / signature meaning.
trail = {
"record": report.to_dict(), # tamper-evident, no PHI
"who": "j.smith@sponsor.example", # authenticated user (your IdP)
"when": dt.datetime.now(dt.timezone.utc).isoformat(),
"what": "PHI de-identification of source narrative (study X, subject S-014)",
"signature_manifestation": { # 21 CFR 11.50
"signer_printed_name": "Jane Smith",
"meaning": "reviewed and approved",
"signed_at": dt.datetime.now(dt.timezone.utc).isoformat(),
},
"system": {"openmed_version": report.openmed_version,
"manifest_hash": report.manifest_hash},
}
with open("part11_trail.json", "w") as fh:
json.dump(trail, fh, indent=2, sort_keys=True)
# 4) Later — verify integrity (optionally bind to the exact source/output text).
ok = report.verify(b"<release-hmac-key>", original_text=note)
assert ok, "AUDIT TRAIL TAMPERED OR KEY MISMATCH"
Workflow
- Authenticate the actor in your own IdP/access system (Part 11 needs unique IDs and operational checks — outside the library). Capture the user id.
- Run the processing step with
audit=Trueto get the deterministic record. - Sign with a controlled release key from a vault/HSM; record
key_id. Never embed the key in source or the trail. - Build the Part 11 envelope — who, when (UTC, contemporaneous), what, and the signature manifestation (printed name, meaning, timestamp) per 11.50.
- Append, never overwrite. Store trails write-once (WORM / append-only store). The audit trail itself must be protected and retained.
- Verify on retrieval with
.verify(key, original_text=..., deidentified_text=...)to confirm neither the record nor the bound texts changed. - Retain per the study/retention schedule; keep keys and any reversible mapping in a separate, access-controlled store.
Hand-off to / from OpenMed
- Produce the record:
auditing-deidentification-runs(deidentify(audit=True)→AuditReport) is the source of the signed, PHI-free trail this skill envelopes. - Coverage evidence:
auditing-safe-harbor-checklistdocuments that the 18 identifier categories were handled — useful as a CSV artifact. - No-PHI logging:
enforcing-nophi-loggingensures the surrounding application logs don't leak identifiers into the trail. - HIPAA overlap:
checking-hipaa-compliance— Part 11 audit controls and the HIPAA Security Rule audit-controls standard (164.312(b)) reinforce each other. - OpenMed runs on-device, so the record-generating step stays inside your validated boundary.
Edge cases & gotchas
- Part 11 ≠ one library. The signed
AuditReportgives tamper-evidence and attribution, but Part 11 also requires validated systems (CSV), SOPs, training, and access controls you implement around it. Don't claim "Part 11 compliant" from the audit object alone. - Unsigned = not tamper-evident.
.sign()is a deliberate step;signatureisNoneuntil called. Empty/None keys are rejected. - Key management is the crux. The HMAC is only as trustworthy as the key.
Use a vault/HSM, rotate via
key_id, and never store the key with the trail. - Contemporaneous timestamps. Use a synchronized, trusted clock (UTC) at the moment of the action — back-dating breaks ALCOA "Contemporaneous".
- Append-only retention. A trail you can silently overwrite isn't an audit trail. Use WORM/append-only storage and protect it from the operators it audits.
- No PHI in the envelope. The
AuditReportis hash-and-offset only; don't reintroduce identifiers in thewhat/whofree-text fields. - HMAC is symmetric. It proves integrity to holders of the key, not public
non-repudiation. If you need third-party non-repudiation, layer an asymmetric
signature over
report.to_json().
Standards & references
- 21 CFR Part 11 (Electronic Records; Electronic Signatures): https://www.ecfr.gov/current/title-21/chapter-I/subchapter-A/part-11
- FDA guidance — Part 11 Scope and Application: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/part-11-electronic-records-electronic-signatures-scope-and-application
- FDA — Electronic Systems, Records, and Signatures in Clinical Investigations (2023): https://www.fda.gov/regulatory-information/search-fda-guidance-documents/electronic-systems-electronic-records-and-electronic-signatures-clinical-investigations
- FDA — Data Integrity and Compliance With Drug CGMP (ALCOA+): https://www.fda.gov/regulatory-information/search-fda-guidance-documents/data-integrity-and-compliance-drug-cgmp-questions-and-answers-guidance-industry
- GAMP 5 (ISPE) — risk-based CSV: https://ispe.org/publications/guidance-documents/gamp-5-guide-2nd-edition
- HMAC-SHA256: RFC 2104 / FIPS 198-1. OpenMed source:
openmed/core/audit.py.
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- github.com/maziyarpanahi/openmed