HIPAA-ready18 PHI identifiersOCR-grade audit logs

HIPAA-ready AI for clinicians, billers, and care coordinators

Your staff are already pasting patient context into ChatGPT — for discharge summaries, prior-auth letters, payer appeals. Every one of those prompts is a potential HIPAA breach. TeamPrompt sits in the browser, catches PHI before it leaves the device, and produces the audit evidence your compliance officer needs for HHS OCR.

By Eric Campton·Founder, TeamPrompt·Updated June 2026

Healthcare AI Controls

What HIPAA actually requires when staff use AI tools

Every feature designed to help your team work smarter with AI.

01

All 18 PHI identifiers detected

Patient names, MRNs, dates of service, addresses, insurance IDs, biometric data, and the other 12 HIPAA Safe Harbor identifiers — blocked in real time before prompts reach OpenAI, Anthropic, or Google.

02

OCR-grade audit logs

Every prompt is logged with timestamp, user identity, identifiers detected, AI tool used, and action taken. Maps to HIPAA Security Rule §164.312(b) (Audit Controls) for OCR examinations.

03

Role-based access by department

Clinicians see different DLP policies than billing or care coordination. Minimum necessary standard (§164.502(b)) enforced through the same access model HHS expects for EHR access.

04

Breach prevention, not breach reporting

By blocking PHI before it reaches AI providers, TeamPrompt prevents the unauthorized disclosure that would trigger §164.408 notification — to OCR, to the patient, to the media for breaches over 500 records.

05

Workforce training reinforcement

When staff try to send PHI, they see exactly why it's blocked and what to do instead. Real-time pedagogy beats annual training videos — measurable in reduced violation rates within weeks.

06

Compliance officer dashboard

Per-department PHI detection rates, policy compliance trends, and audit-ready reports formatted for HHS OCR reviews and Joint Commission AI governance discussions.

Benefits

Why healthcare compliance officers choose TeamPrompt

Stop the most common HIPAA-AI exposure: staff pasting patient context into ChatGPT for discharge summaries, prior auths, payer appeals, and clinical note refinement
Generate audit evidence for HIPAA Security Rule §164.312(b) (Audit Controls) and §164.312(a)(1) (Access Control) as they apply to AI tools
Avoid the $50,000–$1.5M tiered penalty schedule under HITECH Subtitle D
Support Joint Commission inquiries about AI governance with documented controls and usage data
Give clinicians a safe path to use AI for productivity tasks without the constant 'is this allowed?' uncertainty
Produce the technical safeguard documentation that BAA-readiness conversations require with downstream AI vendors

18

PHI identifiers detected

$1.5M

Max HITECH penalty / category / year

<5 min

From install to first PHI block

FAQ

Frequently asked questions

Will TeamPrompt make our hospital fully HIPAA-compliant?

TeamPrompt provides the technical safeguards required by the HIPAA Security Rule as they apply to AI tools — PHI detection, access controls, and audit logging. Full HIPAA compliance also requires administrative safeguards (policies, training, workforce sanctions), physical safeguards, and a documented risk analysis. TeamPrompt is the AI-tool-specific layer of an overall HIPAA program.

Do we need a BAA with TeamPrompt?

TeamPrompt's DLP scanning runs locally in the browser. PHI is detected and blocked before it leaves the device, meaning our servers never receive PHI. This is the same architecture HHS approved for client-side encryption tools. Most healthcare organizations conclude no BAA is required; talk to your privacy officer about your specific deployment model.

What about staff using personal AI accounts on personal devices?

The browser extension installs on any Chromium browser including personal devices used for work. For unmanaged devices, TeamPrompt's Cloudflare Gateway integration provides DNS-level blocking of AI tools when the browser extension isn't present — closing the BYOD loophole.

How does this address Joint Commission AI governance expectations?

The Joint Commission's emerging AI governance guidance asks for documented controls over AI tool usage, evidence of clinician training, and incident response procedures. TeamPrompt produces all three: control documentation (DLP policies), training evidence (real-time feedback events), and incident logs (PHI detection events with full context).

How fast can we deploy across a 5,000-person health system?

Pilot deployments typically launch within a week (single department, browser extension, baseline DLP policy). Full enterprise rollout depends on your endpoint management — most systems get to org-wide coverage within 30 days using managed extension deployment via Google Workspace or Intune.

How it works

Three steps from install to full AI security coverage.

1

Install

Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.

2

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

3

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

Want help getting set up?

Tell us where you are with AI today and we'll walk you through the right setup for your team. No demo gating, no pressure.

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