7 AI Tools That Meet Healthcare Privacy Standards (Health Insurance Portability and Accountability Act Compliant)
If you work in healthcare, you cannot use just any AI tool with patient data. Here are seven tools that meet the Health Insurance Portability and Accountability Act (HIPAA) requirements, what they cost, and what they can actually do.
If you work in healthcare — as a doctor, nurse, administrator, or anyone who handles patient information — you face a unique challenge with AI tools. The Health Insurance Portability and Accountability Act (HIPAA) requires that any technology handling patient health information meets strict security and privacy standards.
Most popular AI tools like the regular versions of ChatGPT, Claude, and Gemini are not HIPAA-compliant by default. This means you cannot paste patient notes into them, ask them to help with diagnoses, or use them with any data that could identify a patient.
But there are AI tools specifically built for healthcare that do meet these requirements. Here are seven of them, along with what they actually do and how much they cost.
What Does HIPAA Compliance Actually Mean for AI Tools?
Before we list the tools, let us explain what HIPAA compliance means in simple terms:
A HIPAA-compliant AI tool must encrypt patient data (scramble it so that only authorised people can read it), both when it is stored and when it is being sent over the internet.
The tool provider must sign a Business Associate Agreement (BAA) — a legal contract promising they will protect patient data according to HIPAA rules.
The tool must not use patient data to train its AI models. Your patient information cannot be mixed into the general data the AI learns from.
The tool must have access controls — meaning you can control who can see what data, and there is a log of who accessed what.
The tool must allow you to delete patient data when requested.
Important: even with a HIPAA-compliant tool, your organisation is still responsible for using it correctly. The tool provides the security infrastructure; your policies determine how staff actually use it.
Source: Health and Human Services Department HIPAA guidelines at hhs.gov/hipaa.
The 7 HIPAA-Compliant AI Tools
Here are the tools that have met HIPAA requirements and signed Business Associate Agreements:
1. Microsoft Azure OpenAI Service (ChatGPT for Enterprise) — Enterprise pricing, contact sales. This is ChatGPT's technology deployed in Microsoft's cloud with HIPAA-compliant infrastructure. Hospitals and health systems can build custom AI applications that handle patient data securely. Not for individual practitioners — this is for organisations with IT teams.
2. Anthropic Claude (Enterprise and Team plans) — Team: $25 to $30 per user per month, Enterprise: custom pricing. Claude's Team and Enterprise plans offer HIPAA-eligible environments with a signed BAA. Useful for clinical documentation, research summaries, and administrative tasks. Note: the individual Pro plan is not HIPAA-compliant.
3. Nuance DAX Copilot (by Microsoft) — Custom pricing. Specifically designed for clinical documentation. A doctor speaks naturally during a patient visit, and DAX Copilot automatically generates clinical notes in the correct medical format. Used by over 200 health systems in the United States.
4. Abridge — Custom pricing. Records patient-doctor conversations and generates structured clinical notes automatically. Integrates with major Electronic Health Record (EHR) systems like Epic. Focused exclusively on healthcare.
5. Ambience Healthcare — Custom pricing. An AI operating system for healthcare that handles clinical documentation, coding, referrals, and patient communication. Generates notes in real-time during patient visits.
6. Nabla — Custom pricing. An AI copilot for clinicians that listens to patient consultations and generates clinical notes. Particularly popular in Europe and gaining traction in the United States.
7. Glass Health — Free for individual clinicians. An AI tool that helps doctors generate differential diagnoses and clinical plans. It is one of the few healthcare AI tools with a free option for individual practitioners.
Source: HIPAA compliance status verified from each company's official security and compliance pages, March 2026.
What You Can and Cannot Do with Healthcare AI
Even with HIPAA-compliant tools, there are important boundaries:
You CAN use these tools to: generate clinical notes from recorded conversations, summarise patient histories, draft referral letters, help with medical coding (translating procedures into billing codes), research drug interactions, and create patient education materials.
You CANNOT use these tools to: make final diagnostic decisions (AI should assist, not replace clinical judgment), prescribe medications without human review, share patient data with non-compliant tools (even for "quick questions"), or bypass your organisation's data governance policies.
The golden rule: AI in healthcare should augment the clinician, not replace the clinician. Every AI-generated note, diagnosis suggestion, or treatment plan should be reviewed by a qualified healthcare professional before being acted upon.
If you work in healthcare and want help finding the right AI tools for your specific role and compliance requirements, try our free AI Match quiz: aitoolsmentor.com/wizard