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GOVERNANCE / PRACTICAL GUIDE

A lightweight governance loop for healthcare AI

How to approve, monitor, change, and retire an AI use case.

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DIRECT ANSWER

Use a repeatable intake, risk tier, approval record, test protocol, owner, monitoring plan, and retirement trigger.

01

Approve a workflow, not a shopping category

A single product can support many use cases with very different data and consequences. Governance should approve a bounded workflow with named users, inputs, controls, reviewer, and destination.

This makes change management possible: when a connector, model, or use case changes, the team knows which approval record to revisit.

02

Monitor what matters

Track access, policy exceptions, output corrections, incidents, complaints, vendor changes, and whether the workflow still saves meaningful time after verification.

Create a retirement trigger for unsafe, unused, or uneconomic workflows. Governance is allowed to end an experiment.

03

Compliance is a workflow, not a label

A product name, model name, or marketing page cannot make a healthcare workflow compliant by itself. The organization using the tool still has to determine whether HIPAA applies, understand what information enters the system, document permitted uses, configure access, train its workforce, and manage risk.

For a cloud service that creates, receives, maintains, or transmits electronic protected health information on behalf of a covered entity or business associate, HHS guidance centers the business associate agreement and the regulated organization’s own risk analysis. Those are operational responsibilities, not badges that can be inferred from a homepage.

  • Identify the data before selecting the tool
  • Confirm the contract and covered services
  • Document access, retention, review, and incident handling
04

Keep the human decision visible

Generative output can be fluent and still be incomplete, outdated, or wrong. A useful implementation names who reviews the output, what they compare it against, which changes they must make, and where the approved final record lives.

Human review should be proportionate to the consequence of error. A draft staff announcement and a patient-specific clinical recommendation do not belong in the same review lane. High-consequence decisions require qualified professional judgment and authoritative sources.

NEXT STEP

Turn the idea into one bounded workflow.

Write the input, data, reviewer, source of truth, destination, failure consequence, and fallback on a single page.

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