HIPAA-Compliant Voice AI: Provider Options and Architecture Patterns
Blog post from Coval
Building a HIPAA-compliant voice AI agent for healthcare poses significant challenges, primarily due to the strict regulations surrounding the handling of Protected Health Information (PHI). The process requires careful selection of vendors who sign Business Associate Agreements (BAAs) and adhere to requirements such as encryption in transit and at rest, access controls, and audit logs. Voice AI systems must ensure compliance by encrypting audio data, managing PHI in transcription and text-to-speech processes, and securing data during interactions with large language models (LLMs) and third-party systems. Different architecture patterns, such as fully managed cloud services or self-hosted systems, offer varying degrees of data control and operational complexity. Compliance verification involves continuous testing of PHI handling, identity validation, and minimal necessary disclosure, while also considering related standards like SOC 2 and GDPR for international operations. With the right infrastructure and testing frameworks, such as those provided by Coval, healthcare organizations can maintain compliance and protect patient data effectively.
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