HIPAA-Compliant AI Scribe Checklist for Clinicians and Practice Managers
Adopting an AI medical scribe touches protected health information at every step — audio, transcripts, generated notes, and often patient identifiers. If you bill Medicare or operate in the U.S., HIPAA compliance is not optional.
This checklist helps clinicians and practice managers evaluate vendors before audio from real patients enters any system.
For a broader framework, see our HIPAA-compliant AI scribe guide.
Before you pilot: non-negotiables
☐ Business Associate Agreement (BAA)
Will the vendor sign a BAA before you process PHI? If not, stop — consumer AI tools are not appropriate for clinical documentation.
☐ Purpose limitation
Confirm patient data is used only to provide the documentation service — not to train public models or unrelated products without explicit consent.
☐ Encryption in transit and at rest
Audio uploads, transcripts, and stored notes should use industry-standard encryption (TLS in transit, encrypted storage at rest).
☐ Access controls
Role-based access, strong authentication, and session management — especially if multiple clinicians share a practice account.
☐ Audit and retention policies
Understand how long data is kept, who can access logs, and how deletion requests are handled.
During evaluation: workflow questions
☐ Where does processing happen?
U.S. healthcare organizations often require domestic data handling or clear cross-border agreements. Ask explicitly.
☐ Mobile and BYOD policies
If clinicians record on personal phones, your compliance posture includes those devices — not just the vendor's cloud.
☐ Patient consent workflow
Ambient scribes require informed consent aligned with your clinic's policies. The tool should support your process, not bypass it.
☐ Minimum necessary documentation
Does the platform store full audio indefinitely, or can you configure retention? Less retained PHI means less breach surface.
Vendor questions to ask in writing
- Will you sign a BAA covering all PHI processed by the service?
- Is patient data used to train AI models? If yes, under what opt-in/opt-out terms?
- Where are audio files and transcripts stored geographically?
- What subprocessors handle transcription or model inference?
- How do you notify customers of security incidents?
- Can we export and delete patient data on request?
- Do you support SSO or enterprise identity for group practices?
Document answers — your compliance officer will ask.
Common red flags
- "Just don't include names" — de-identification is harder than it sounds; structured PHI is still PHI
- No BAA on standard plans — healthcare requires contractual protection
- Vague answers about model training — transparency matters
- Copy-paste into ChatGPT workflows — not HIPAA-aligned for identifiable encounters
Canadian clinicians: PIPEDA matters too
If you practice in Canada, evaluate PIPEDA alignment alongside HIPAA concepts. North American clinicians should choose vendors explicitly designed for healthcare privacy in their region.
How Wavo Health approaches compliance
Wavo is built for North American clinical documentation with privacy-conscious architecture, clinician-controlled review before notes are finalized, and workflows designed for HIPAA-aware practices.
Compliance is shared responsibility: the vendor provides the platform; your clinic maintains policies, consent, and access discipline.
Next steps
- Run this checklist against any AI scribe you are trialing
- Compare feature depth on our AI scribe comparison hub
- Start a Wavo free trial with the BAA and privacy questions answered to your satisfaction first
Documentation automation should reduce burnout — not create compliance debt.