AI for healthcare providers

AI for care teams, with PHI kept out of the prompt.

Give clinical and administrative staff the leading AI models while meeting your HIPAA and healthcare regulatory requirements. PHI is redacted on the device, and every prompt is on the record.

Talk to us Get the AI policy template
Guardrails and productivity

Deliver leading AI assistants in line with HIPAA, OCR, HITRUST, SOC, NIST, and more.

  • A secure data perimeter for every AI request
  • On-device redaction of PHI and sensitive data
  • 200+ prompts written for healthcare professionals
  • Private audit trail with recorded audit access
ChatGPT Claude Copilot Gemini Grok Perplexity Open Models Custom Models
Compliance resources

Start with the rules you already answer to.

Healthcare AI adoption starts with policy and compliance. These guides help your compliance, privacy, and IT teams agree on the ground rules.

HIPAA

HIPAA AI compliance

A free whitepaper on the HIPAA requirements for AI: documenting AI systems, running risk assessments, and protecting patient data under OCR's January 2025 guidelines.

Read the guide
HITRUST

HITRUST AI compliance

HITRUST now includes AI governance in its Common Security Framework. This free whitepaper explains how to document AI systems, assess risk, and meet the requirements.

Read the guide
Policy

AI use policy template

Free AI use policy templates for hospitals and providers, based on HHS and OCR guidance and the NIST AI RMF. MultiModel can then enforce the policy in the portal.

Get the template
The platform

Data guardrails and prompts built for healthcare.

PHI protection

Redact PHI before it reaches a model.

PHI and other sensitive data is detected and redacted on the device, before it goes into any AI model. Protect your team with 20x safer prompting.

  • On-device detection, before anything is sent
  • Works across every model in the portal
Data loss prevention
Data perimeter

Keep patient data inside your perimeter.

Deploy AI assistants into your own cloud so that sensitive data never leaves the security perimeter you define.

  • Keep sensitive data on your network
  • Block or filter requests that cross your data boundary
  • Keep sensitive data on-device where possible
AI on your network
Healthcare professional using AI at work
Prompt library

200+ prompts written for healthcare professionals.

Staff don't start from a blank box. Every prompt is designed and tested for healthcare work.

  • Clinical research
  • Care team training and productivity
  • Regulatory compliance
  • Patient communication
  • Lab support
Prompt library
AI use policy

Turn your AI use policy into enforced rules.

Go from a policy on paper to real-time policy enforcement and staff training on the same rules.

  • Which models are allowed, and for whom
  • What data may be sent
  • Training that matches what the portal enforces
AI use policy template
A nurse and a doctor reviewing information together
Audit trail

Every prompt on the record.

Keep historical prompt records for your audits and compliance reviews.

  • Private prompt logs with recorded audit access
  • User, group, and policy-level permissions
  • AI prompt categorization and flagging
  • Designed to meet healthcare regulatory requirements
Security & compliance
Access & SSO

Healthcare-grade login, not consumer accounts.

Consumer tools like chatgpt.com and copilot.com allow access when logged out. MultiModel runs through the single sign-on you already trust.

  • Use your existing healthcare-grade SSO
  • Provision AI assistants per user, group, and policy
  • Policy rules by geo-location, IP range, and more
AI guardrails
Deployment

Host it on your network.

Host your AI portal and, where possible, the AI models on your own secure network.

  • Keep sensitive data within your secure cloud
  • Deploy your own ChatGPT models on Azure
  • Stricter filtering for external (SaaS) AI than for self-hosted AI
Estimate Azure model costs
Compliance readiness

Ready for the questions auditors ask about AI in healthcare.

Regulators expect AI to be governed like any other system that touches PHI. Here is how MultiModel helps you answer.

HIPAA AI compliance
How is PHI kept out of AI models?HIPAA Privacy & Security
PHI is redacted on the device before prompts are sent, and the portal can run on your own secure network.
Who can use AI, and under what rules?Access control
Access runs through your existing SSO and is provisioned by user, group, and policy, including geo-location and IP range.
Can you show how AI was used?Audit controls
Private prompt logs keep historical records, prompts are categorized and flagged, and every audit access is recorded.
HIPAA HHS Office for Civil Rights HHS HITRUST AMA CCPA California Department of Justice FTC NIST AICPA SOC
FAQ

AI for healthcare providers: FAQ

Straight answers for CIOs, CISOs, and compliance officers evaluating AI.

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How does MultiModel protect PHI?

PHI and other sensitive information is detected and redacted on the employee's device, before a prompt is sent to any AI model. The portal, and where possible the models themselves, can run on your own secure network, and you can apply stricter filtering to external SaaS models than to models you host yourself.

Which healthcare regulations and frameworks is it designed around?

MultiModel is built so providers can adopt AI in line with HIPAA, OCR enforcement, HITRUST, SOC, and NIST expectations. Our guides to HIPAA AI compliance and HITRUST AI compliance go into the detail.

Do we need an AI use policy before rolling out AI?

It helps, and you don't have to start from scratch. Use our AI use policy template for healthcare providers. MultiModel then turns the policy into real-time enforcement in the portal and training for your staff.

What can clinical and administrative staff use it for?

The prompt library includes 200+ prompts designed and tested for healthcare professionals, covering clinical research, care team training and productivity, regulatory compliance, patient communication, and lab support.

Can we audit how AI is being used?

Yes. Private prompt logs keep historical records for audits and compliance, access to the logs is itself recorded, and prompts are categorized and flagged for review. Permissions can be set at user, group, and policy level.

Which AI models are available?

ChatGPT, Claude, Microsoft Copilot, Gemini, Grok, and Structured AI Assistants, behind one login. You can also deploy your own ChatGPT models on Azure.

Talk to an expert on AI in healthcare.

Bring your AI use policy, your HIPAA questions, or the workflow you want to fix first. We'll show you how it runs inside your perimeter.

Talk to us