By George Curta · Last updated 2026-04-07
HIPAA Compliance Handbook
HIPAA compliance guide for healthcare organizations. Covers all 18 PHI identifiers, Safe Harbor requirements, and practical de-identification strategies.
anonym-legal-hipaa-compliance-handbook.pdf
PDF • 22 pages
About This Resource
Healthcare data breaches cost an average of $7.42 million—the highest of any industry for 14 consecutive years. With 96% of ransomware attacks now involving data exfiltration, protecting PHI isn't just about avoiding fines—it's about survival.
This handbook provides a practical framework for HIPAA compliance, covering the Privacy Rule, Security Rule, and Breach Notification requirements. We focus on the technical aspects that IT and security teams need: the 18 PHI identifiers, Safe Harbor de-identification methods, and implementation strategies.
Whether you're preparing for an OCR audit, implementing a de-identification program, or training staff on PHI handling, this handbook provides the actionable guidance you need.
The 18 HIPAA Identifiers
This handbook provides complete coverage of all 18 PHI identifiers defined in 45 CFR 164.514(b)(2):
What's Inside
Key Benefits
Complete coverage of all 18 PHI identifiers with examples
Ready-to-use Safe Harbor implementation guide
OCR audit preparation checklist (50+ items)
Breach response timeline and notification templates
Who Is This For?
$7.42M Average Healthcare Breach Cost (14 Years #1)
Healthcare has been the costliest industry for data breaches for 14 consecutive years. With 96% of ransomware attacks now involving data exfiltration, proper PHI protection is critical.
Read: Why Healthcare Breaches Cost More Than Any Other IndustryHIPAA De-Identification Methods
Safe Harbor Method
Remove or generalize all 18 identifiers. This handbook provides a complete checklist for Safe Harbor compliance.
- • Remove all direct identifiers
- • Generalize dates to year only
- • Truncate ZIP to 3 digits
- • No actual knowledge of re-identification
Expert Determination
Statistical analysis proving very small re-identification risk. More flexible but requires expert involvement.
- • Qualified statistical expert
- • Document methods and results
- • Demonstrate "very small" risk
- • More data can be retained
Ready to Implement HIPAA-Compliant De-Identification?
anonym.legal detects all 18 PHI identifiers across 48 languages. Use our Desktop App for local processing or the Office Add-in for clinical documents.
About this page
We update this page when our platform or the law changes.
Read our founder note for how we work.
Each change shows up in the timestamp at the top.
Related reading
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
We follow these rules
- GDPR (EU 2016/679).
- ISO/IEC 27001:2022.
- NIS2 (EU 2022/2555).
- HIPAA safe harbor under 45 CFR § 164.514(b)(2).
Our promise
We do not sell your data.
We do not train models on your text.
We store your files in Germany.
You can delete your account at any time.
You own your work.
Where we run
Our servers live in Falkenstein, Germany.
We use Hetzner. They hold ISO 27001 certification.
All data stays in the EU.
Backups run every day.
Need help?
Email support@anonym.legal.
We reply within one business day.
How we test
We run a full check suite on every release.
Each surface gets its own sweep script and report.
Human reviewers spot-check the output each week.
We track recall and precision on a labelled set.
Bad runs block the deploy.
What we never do
- We never sell your information to third parties.
- We never train models on what you upload.
- We never keep your work after you delete it.
- We never share keys with any outside firm.
- We never run ads inside the product.
Plans in plain words
We sell credits, not seats.
One credit covers one short job.
Long jobs use a few credits each.
You can top up at any time.
Unused credits roll over each month.
Read the plans page for current rates.
Who built this
A small team of engineers and lawyers built this.
We ship from Europe and work in the open.
Our founder note spells out why we started.
Where to start
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
How the parts fit
A browser add-on cleans text inside Chrome.
A Word plug-in handles drafts in Office.
A small desktop tool works on whole folders.
An agent protocol link feeds large models safely.
All four share one core engine and one rule set.
Words from our team
We started this work after a lunch about cookies.
One friend kept getting odd ads on her phone.
We asked why a court file leaked through a draft.
We sketched the first build on a napkin that week.
By month three we had a tiny demo for a friend.
She used it on her first case the next day.
Common questions we hear
Can the tool read scanned PDFs? Yes, with OCR.
Does it work on long files? Yes, in small chunks.
Can I roll my own rule set? Yes, save it as a preset.
Does it run offline? The desktop build runs offline.
Do you keep my files? No, the cloud build wipes after each run.
Will it learn from my work? No, we never train on inputs.
A short tour of the workflow
Upload a file or paste a snippet of prose.
Pick the entities you want gone from the draft.
Choose a method: replace, mask, hash, encrypt, or redact.
Press run and watch the side panel show each hit.
Skim the result and tweak any rule that misfired.
Save the cleaned file or send it to a teammate.