HIPAA and AI: What Medical Practices Need to Know Before Adopting AI

Artificial intelligence (AI) is becoming part of everyday healthcare technology, raising important questions about HIPAA and AI for medical practices. From clinical documentation to patient communication, AI tools can help reduce administrative work and improve efficiency.

However, these benefits come with important considerations. How is patient information handled? Can an AI tool expose protected health information? And how can practices evaluate AI without creating unnecessary compliance risks?

For ambulatory practices, understanding how HIPAA applies to AI is an important step toward adopting technology responsibly. The right approach helps protect patient privacy while allowing practices to explore useful improvements to clinical and administrative workflows.

How Does HIPAA Apply to AI in Healthcare?

HIPAA applies to protected health information (PHI), regardless of whether a practice handles it manually or through AI-powered technology. The HIPAA Privacy and Security Rules establish requirements for protecting patient information and securing electronic protected health information (ePHI).

Therefore, introducing AI does not remove a practice’s existing privacy and security responsibilities.

For example, an AI tool might summarize a patient visit, draft clinical notes, or help staff manage patient inquiries. If the tool accesses, receives, or processes identifiable patient information, the practice must understand how that information is used and protected.

The U.S. Department of Health and Human Services (HHS) explains these responsibilities in its HIPAA Security Rule guidance.

What Makes an AI Tool Appropriate for Protected Health Information?

A tool is not automatically HIPAA-compliant simply because it is marketed for healthcare. Likewise, a vendor’s security claims alone do not establish compliance.

Instead, practices should evaluate how technology handles patient data and whether its use aligns with applicable HIPAA requirements.

Consider these questions before implementation:

• Does the vendor explain how patient information is collected, stored, and processed?
• Is patient data used to train or improve AI models?
• Who can access the information, including subcontractors?
• How long is information retained, and how can it be deleted?
• What security controls and incident response procedures are in place?
• Does the vendor support the practice’s HIPAA obligations?

These answers help practice leaders distinguish useful AI capabilities from potential privacy and security concerns.

What Should Medical Practices Know About AI Vendors and Business Associate Agreements?

A business associate agreement (BAA) is an important consideration when evaluating healthcare AI tools. However, whether one is required depends on the vendor’s role and the services it provides.

If an AI vendor creates, receives, maintains, or transmits PHI on behalf of a covered entity in a business associate capacity, a BAA is generally required. The agreement establishes permitted uses of information and the vendor’s applicable privacy and security obligations.

What Should a HIPAA-Compliant AI BAA Address?

Before approving an AI tool, practice leaders should review the agreement with their compliance advisor or legal counsel.

Key considerations include:

• Permitted data use: How may the vendor use PHI, including for AI model training?
• Security safeguards: What protections help prevent unauthorized access or disclosure?
• Subcontractors: How are other companies handling PHI covered?
• Incident reporting: How will the vendor notify the practice of a breach or security incident?
• Data retention and deletion: What happens to patient information when the service ends?

A signed BAA is important, but it does not guarantee that an AI tool is secure or that every use complies with HIPAA. Practices must also evaluate the technology, configure it appropriately, and follow their own compliance procedures.

For additional guidance, the HHS HIPAA risk analysis guidance explains how organizations should assess risks to electronic protected health information.

How Can Practices Protect Patient Data When Using AI Tools?

The safest approach combines appropriate technology, clear internal policies, and ongoing oversight. In addition, staff need practical guidance on which tools they can use and what information they may share.

Establish Clear AI Usage Policies

Start by identifying approved AI tools and defining acceptable uses. Employees should not enter patient names, medical records, or other identifiable information into unapproved public AI applications.

Next, provide training on privacy, security, and responsible AI use. Staff should understand how to recognize potential risks and report concerns.

Review Access, Accuracy, and Workflow Integration

AI tools should support established workflows without creating new security gaps. Practices should review user permissions, audit capabilities, data transfers, and system integrations.

Clinical outputs also require appropriate human review. AI-generated notes, summaries, and recommendations can contain errors or omit important details. Clinicians must verify documentation and retain responsibility for clinical decisions.

The National Institute of Standards and Technology offers additional guidance through its Generative AI Risk Management Profile. Although voluntary, this resource helps organizations think through AI risks and responsible implementation.

For a broader look at implementation planning, see Virtual OfficeWare Healthcare Solutions’ (VOWHS’) guide to successfully implementing AI into your practice.

What Should Ambulatory Practices Do Next?

You do not need to adopt every new AI capability at once. Instead, begin with a focused review of your current technology, operational needs, and privacy responsibilities.

Before introducing or expanding AI tools, consider these steps:

• Inventory existing tools: Identify AI features already included in your EHR, practice management system, and other applications.
• Assess the risks: Review what patient information each tool accesses and how it is handled.
• Verify vendor requirements: Confirm appropriate contractual protection, including a BAA when required.
• Set staff expectations: Establish clear policies for approved tools, patient data, and human review.
• Evaluate practical value: Determine whether technology improves documentation, patient communication, or administrative workflows.
• Review regularly: Reassess security, access, and vendor practices as your technology and workflows change.

For more ideas on evaluating healthcare technology, explore VOWHS’ EHR and medical practice technology insights.

Ultimately, responsible AI adoption starts with understanding both the opportunity and the risks. With the right safeguards and implementation strategy, practices can explore AI while keeping patient privacy and trust at the forefront.