hipaa-compliance-auditor
Automatically detect and de-identify PII (Personal Identifiable Information) and PHI (Protected Health Information) from clinical/medical text to ensure HIPAA compliance. Trigger when processing medical records, patient data, clinical notes, insurance information, or any healthcare-related text containing potential patient identifiers.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aipoch-ai/hipaa-compliance-auditorWhat This Skill Does
The HIPAA Compliance Auditor is a specialized AI agent skill designed to identify, redact, and anonymize sensitive information within clinical and medical datasets. Operating as a critical layer in data privacy, it scans text for the 18 specific identifiers defined by the Health Insurance Portability and Accountability Act (HIPAA), including patient names, social security numbers, medical record numbers, and specific dates. By replacing these sensitive data points with semantic tokens like [PATIENT_NAME_1] or [DATE_1], the skill ensures that medical records can be used for research, training, or system integration without compromising patient anonymity or violating privacy regulations.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/aipoch-ai/hipaa-compliance-auditor
Use Cases
- Medical Research: Sanitizing large batches of clinical notes to create datasets for training machine learning models without using real patient data.
- Billing Automation: Removing personal identifiers from insurance claims before processing them through external automated billing software.
- Electronic Health Record (EHR) Export: Ensuring that any data extracted from patient portals or EHR systems is compliant before being shared with third-party partners.
- Training Environments: Generating synthetic or anonymized medical transcripts for nursing and medical student simulations.
Example Prompts
- "OpenClaw, process the file 'clinical_notes_2023.txt' and output a fully de-identified version to 'anonymized_notes.txt', while logging all redactions in an audit file."
- "I need to sanitize this patient report: [Insert Text Here]. Please identify all PHI and replace it with semantic tags, ensuring a minimum confidence threshold of 0.8."
- "Scan my directory of patient histories for any exposed SSNs or contact information and generate a compliance report."
Tips & Limitations
While the HIPAA Compliance Auditor provides a high level of accuracy, it should be treated as a decision-support tool rather than an absolute guarantee of 100% anonymization. Always verify high-risk document outputs through a secondary human review process if the content is intended for public release. Adjust the --confidence parameter if you find the model is flagging too many false positives in complex medical jargon, and ensure your input text is formatted clearly to improve detection efficacy.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aipoch-ai-hipaa-compliance-auditor": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write
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