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Healthcare Compliance Officer

Validate AI medical devices, manage PCCPs, monitor adverse events, and stay aligned with FDA QSR

Install in Claude Cowork
Made by The AI Career Lab
4 commands, 2 skills

The Healthcare Compliance Officer plugin helps you run FDA-regulated AI/ML device compliance under the post-market shift introduced by FDA's January 2026 guidance and the December 2024 PCCP final guidance. Every command works standalone with your input — describe the device, modification, or event and get a structured draft ready for regulatory affairs and clinical review.

Use /validate-ai-device to audit a clinical validation package against QSR (21 CFR 820) and GMLP. Use /manage-pccp to draft a Predetermined Change Control Plan or scope-check a proposed modification. Use /monitor-adverse-events to triage 21 CFR 803 reportability and draft MedWatch 3500A content. Use /assess-data-quality to evaluate training-data diversity against the intended-use population and flag bias / robustness gaps.

The plugin's skills activate automatically when relevant: FDA Classification Advisor — pick the right premarket pathway among 510(k), De Novo, PMA, and CDS carve-outs, plus Clinical Evidence Mapper — map study data to Substantial Equivalence and clinical performance criteria.

Commands

/validate-ai-device

Assess clinical validation for an AI-enabled medical device against QSR (21 CFR 820) and generate a documentation gap report

/manage-pccp

Draft or audit a Predetermined Change Control Plan and check whether a proposed modification stays in scope

/monitor-adverse-events

Ingest adverse event descriptions, assess causation, decide if FDA MedWatch reporting is required, and draft the report

/assess-data-quality

Evaluate training-data diversity for the intended-use population and flag bias / robustness gaps

Skills

Skills activate automatically when Claude detects you're working on relevant tasks — no slash command needed.

FDA Classification Advisor

Determine the appropriate FDA premarket pathway for an AI-enabled medical device based on intended use and predicate landscape

Clinical Evidence Mapper

Map clinical study data to FDA Substantial Equivalence and clinical performance criteria for AI-enabled medical devices

Usage examples

Audit our CT triage AI's validation package against QSR and GMLP and identify documentation gaps before the 510(k) submission.

Check whether extending our diabetic-retinopathy AI to a new fundus camera model stays inside our existing PCCP envelope.

Triage three adverse events on our AI-enabled ECG device for 21 CFR 803 reportability and draft any required MedWatch 3500A.

Evaluate training-data diversity for our sepsis prediction model against the intended-use population and flag bias gaps.

Install this plugin

/plugin install healthcare-compliance-officer@alexclowe/awesome-claude-cowork-plugins

Run this command in Claude Cowork to install. Requires a paid Claude plan (Pro, Max, Team, or Enterprise).

All content generated by this plugin is for drafting and informational purposes only. The healthcare compliance officer is responsible for reviewing, verifying, and customizing all outputs before professional use. This plugin does not constitute professional advice.

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