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Pharmacy Data Privacy: HIPAA, State Privacy Laws, and the AI Vendor Question

  • 71 minutes
  • 37 slides
What we'll cover
  • 0:00 Why Pharmacy Data Is Different
  • 8:00 HIPAA Boundaries In Workflows
  • 20:00 State Law Collision Points
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What you'll take away

Practical shifts you can apply this week

  • Identify HIPAA Boundary Calls

    Identify which pharmacy data uses fall inside HIPAA, outside HIPAA, or into mixed-regime gray areas.

  • Compare State Law Triggers

    Compare HIPAA obligations with key state privacy law triggers affecting pharmacy programs and vendors.

  • Evaluate AI Vendor Status

    Evaluate whether an AI vendor should be treated as a business associate, service provider, or higher-risk third party.

  • Diagnose High-Risk AI Uses

    Diagnose the highest-risk pharmacy AI use cases for secondary use, model training, and cross-context data sharing.

  • Draft A Practical Decision Path

    Draft a practical decision path for procurement, contracting, and governance of pharmacy AI tools.

Agenda

What we'll cover

  1. 0:00

    Why Pharmacy Data Is Different

    Why medication data carries unusual privacy risk, even when the workflow looks routine.

  2. 8:00

    HIPAA Boundaries In Workflows

    Map actors, data flows, and purposes in refill reminders, support programs, and operations.

  3. 20:00

    State Law Collision Points

    Where consumer privacy, health data, geolocation, and reproductive health rules complicate pharmacy programs.

  4. 32:00

    The AI Vendor Test

    How access, retention, reuse rights, and subprocessors change the vendor role and risk.

  5. 43:00

    High-Risk Use Cases

    Pressure-test common AI scenarios like summarization, outreach, prior auth, and model training.

  6. 52:00

    A Defensible Decision Framework

    Use a repeatable sequence for intake, contracting, escalation, and audit-ready documentation.

  7. 58:00

    Recap And Live Q&A

    Review the framework, then bring your thorny vendor question. There is usually one.

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