For healthcare

Give clinicians AI.
Keep PHI at home.

PrivacyPal is the HIPAA-aligned privacy layer between your staff and every AI tool they already want to use — from ambient note-taking to prior-auth drafting. No BAA with OpenAI required.

Clinician working with PrivacyPal-protected AI
Why this is hard

PHI lives in sentences, not columns.

Classical DLP catches "SSN: 123-45-6789." It misses "My 68-year-old patient with a recent MI who lives alone on Oak Street." PrivacyPal's models understand context — they swap identifiers in prose, not just in tagged fields.

18 HIPAA identifiers, fully supported. Plus facility names, provider NPIs, device serials, and the long tail of quasi-identifiers that re-enable reidentification.

A clinical sentence is shown before and after PrivacyPal swaps PHI to context-preserving tokens. PRIVACY TWIN · 18 HIPAA IDENTIFIERS · CONTEXTUAL SWAP A clinical sentence, re-cast in coherent synthetic terms. BEFORE IN THE PATIENT CHART "My 68-year-old patient Margaret Chen with a recent MI who lives alone on Oak Street in Lakewood, MRN 4471-8829, presented to the ED on March 14 with chest pain..." AFTER WHAT THE LLM RECEIVES "My 68-year-old patient Nancy Grace with a recent MI who lives alone on Pine Avenue in Brookside, MRN 8826-3142, presented to the ED on April 22 with chest pain..." PRIVACYPAL · PRIVACY-TWIN MAPPING Real PHI → realistic synthetic. Held on-device, never on the wire. Margaret Chen Nancy Grace NAME · §164.514(b)(1) Oak Street Pine Avenue ADDRESS · §164.514(b)(2) Lakewood Brookside CITY · §164.514(b)(2) MRN 4471-8829 MRN 8826-3142 MRN · §164.514(b)(8) March 14 April 22 DATE · §164.514(b)(3) CLINICAL CONTEXT INTACT · ZERO PHI ON THE WIRE · NO BAA WITH OPENAI
Clinical & ops workflows

From the exam room to the back office.

01

Ambient documentation

Let clinicians use Abridge, Nuance DAX or ChatGPT for note generation. PHI stays inside your Epic tenancy.

02

Prior authorization

Draft appeals and submissions against payer policies. Member IDs and clinical history never hit an outside model.

03

Patient messaging

Generate draft replies in MyChart-style inboxes. Names, diagnoses, and med lists are swapped on the way out.

04

Revenue cycle

Automate coding suggestions and denial analysis. Patient accounts, guarantor info, and DOBs stay protected.

"Our clinicians were going to use AI either way. PrivacyPal made it a compliance story instead of a crisis."
— Chief Medical Information Officer, 14-hospital IDN
Compliance posture

HIPAA · HITECH · CFR · state privacy laws.

Because PHI never reaches the LLM, you don't need a BAA with OpenAI, Anthropic or Google. Your existing covered-entity contracts already cover PrivacyPal — we sign a BAA, nobody downstream needs to.

18 HIPAA identifiers

Name, dates, MRN, NPI, IP, photos, biometric IDs — all detected in free text and swapped.

Audit-ready logs

Every prompt, every swap, every model call — logged with user, patient context, and timestamp.

SOC 2 Type II

Annual audits. Penetration tests. Named security contact. The paperwork you need for risk review.

Safer AI at the bedside.
And everywhere else.

Talk to a solution architect who's been on the hospital side of this conversation.

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