The Problem
Without TeamPrompt
Teams across healthcare face the same risks when AI tools go unmanaged.
Clinicians paste patient data into ChatGPT
Without data protection, protected health information ends up in AI tools with no audit trail.
Inconsistent clinical prompts across departments
Every doctor writes their own prompts from scratch. Quality varies wildly between teams.
No compliance visibility
Your compliance team has zero visibility into how AI is being used across the organization.
With TeamPrompt
Purpose-built for healthcare teams
See how the dashboard looks for your team — complete with industry-specific security rules and prompts.
TeamPromptSecurity
Manage
v1.7.0
Patient Intake Summary
Discharge Summary Generator
Referral Letter Template
Lab Results Review
Key Features
Built for healthcare compliance
Every feature designed with your industry's requirements in mind.
PHI Detection & Blocking
Scan every prompt for protected health information patterns — patient names, medical record numbers, diagnoses, and other PHI indicators — before it reaches an AI model.
Clinical Prompt Templates
Pre-built prompt templates for intake summaries, discharge notes, referral letters, and more. Standardize quality across every department.
Full Audit Log
Every prompt submission, every blocked attempt, every timestamp — logged and exportable as CSV or JSON. Give your compliance team a complete, filterable record of AI usage.
Team & Role Management
Organize prompts by department — radiology, oncology, primary care — with role-based access so each team sees only what they need.
What this looks like in practice
Dr. Patel, ER attending
Dr. Patel is writing a discharge summary and pastes the patient's full record — including their medical record number (MRN) — into ChatGPT to draft the document faster.
TeamPrompt's HIPAA compliance pack catches the MRN pattern before the prompt leaves the browser. The submission is blocked, and Dr. Patel sees exactly what was flagged.
Dr. Patel removes the MRN, replaces it with a placeholder, and resubmits. She gets her discharge summary draft in seconds — with zero patient data exposed to the AI provider.
15
Built-in DLP rules
4
HIPAA-specific detection rules
6
One-click compliance packs
FAQ
Frequently asked questions
Can TeamPrompt help with HIPAA compliance?
TeamPrompt's security rules can detect protected health information (PHI) and block it before it reaches AI tools. All data is encrypted at rest and in transit. While we are working toward formal HIPAA compliance and BAA availability, our DLP features provide a strong technical safeguard for healthcare teams using AI.
How does TeamPrompt detect protected health information?
Our PHI detection engine scans for 18 HIPAA-defined identifiers including patient names, medical record numbers, dates of birth, Social Security numbers, and diagnosis codes. When PHI is detected, the prompt is blocked and the user is guided to redact sensitive data before resubmitting.
Can we customize security rules for our specific compliance requirements?
Absolutely. Admins can configure detection sensitivity, add custom patterns (e.g., internal patient ID formats), set department-level policies, and choose between block, warn, or log-only modes depending on risk tolerance.
What audit trail does TeamPrompt provide for compliance officers?
TeamPrompt logs every prompt submission and blocked attempt with timestamps. The Activity Log is filterable by user, AI tool, date range, and action type — and exportable as CSV or JSON for audit review. Combined with the guardrails analytics dashboard, this gives compliance teams the visibility they need.
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