Author: Vivien Sauchik

Psychology practices now integrate artificial intelligence tools into documentation, scheduling, patient communication, and clinical decision support. These systems routinely process protected health information and influence professional judgments, converting routine technology choices into matters of legal compliance, licensing exposure, and operational risk management. Practices must evaluate each tool through the same diligence applied to any other system handling patient data, because regulators already apply longstanding rules to AI use without requiring new statutes.

Regulatory Frameworks That Apply Simultaneously

A single AI platform can trigger obligations under multiple legal regimes at once. Practices should map every proposed use against HIPAA privacy and security requirements, state privacy and consumer protection laws, professional licensing standards, malpractice liability principles, vendor contract terms, and emerging agency guidance. The specific obligations depend on whether the system accesses protected health information or shapes clinical decision-making. Because enforcement actions already target digital health companies for improper data sharing, practices that implement AI without prior review face heightened regulatory and litigation risk.

Common AI Use Cases and Associated Practice Risks

• Clinical documentation and note generation

  AI can draft progress notes and other records. Psychologists remain responsible for reviewing every AI-generated entry for accuracy before it enters the patient record, preserving both documentation integrity and professional accountability.

• Appointment scheduling and patient communication

  Automated platforms and secure messaging tools improve workflow efficiency but must satisfy HIPAA and applicable state privacy rules whenever they transmit or store patient information.

• Patient intake and screening

  AI-assisted questionnaires collect sensitive health data. Practices must verify how the information is stored, transmitted, shared with third parties, and protected before any deployment.

• Clinical decision support

  Tools that generate treatment recommendations or risk assessments require particular caution. The psychologist retains full responsibility for exercising independent professional judgment, regardless of the AI output.

Consider a psychologist using an AI documentation platform. Before uploading any patient information, the practice must confirm that the vendor has executed a HIPAA-compliant Business Associate Agreement, encrypts data in transit and at rest, and does not use patient information to train its models without explicit authorization. Addressing these issues prior to implementation reduces regulatory exposure and protects patient privacy.

HIPAA Compliance as the Primary Gatekeeper

Patient privacy obligations intensify with AI because these systems frequently receive, analyze, store, and potentially reuse sensitive information. Before selecting or deploying any platform, practices should answer the following questions:

• Does the vendor execute a HIPAA-compliant Business Associate Agreement?

• Where is patient information stored, and under what jurisdiction?

• Is patient information encrypted during transmission and at rest?

• Does the vendor retain, reuse, or disclose submitted information?

• Is patient data used to train or improve AI models?

• Who has access to uploaded information, and under what controls?

Even entering therapy notes into a consumer-grade AI platform without appropriate safeguards may constitute an impermissible disclosure under the HIPAA Privacy Rule. Practices should also apply the Minimum Necessary Rule by limiting the volume of patient information shared with any AI system.

Strategic Implications for Psychology Practices

AI adoption is no longer solely an operational or efficiency decision. It directly affects licensing compliance, malpractice exposure, contractual obligations with vendors, and future regulatory posture. Practices that treat AI implementation as a formal risk-management project—complete with vendor due diligence, policy updates, staff training, and ongoing monitoring—position themselves to capture efficiency gains while containing legal risk. Proactive evaluation of tools against existing frameworks allows practices to integrate innovation without creating new compliance gaps.

How MDRXLaw Can Help

MDRXLaw assists psychology practices in evaluating AI vendors, drafting and negotiating Business Associate Agreements, aligning technology adoption with HIPAA and state privacy obligations, and developing internal governance policies. Contact the firm at (212) 668-0200 or info@mdrxlaw.com to schedule a review of current or planned AI tools.

Sources

HHS HIPAA Privacy Rule Summary HHS HIPAA Security Rule Guidance HHS Business Associate Guidance HHS Office for Civil Rights guidance on HIPAA and AI FTC v. BetterHelp Settlement FTC v. GoodRx Settlement FDA Artificial Intelligence and Machine Learning Medical Devices FDA AI Lifecycle Guidance American Psychological Association Ethics Code Principles of Psychologists and Code of Conduct NIST AI Risk Management Framework 1.0 California Consumer Privacy Act (CCPA) Washington My Health My Data Act Rahimzadeh, V. “US Regulation of Medical Artificial Intelligence and Machine Learning”