Governing Physician Use of Clinical Answer Engines such as OpenEvidence within Health Systems: Policy, Access Controls, Auditability, and Runtime Oversight
Treat clinical answer engines as a governable category of AI use, not a ban-or-allow decision. Define approved uses, tier them by risk, tie access to managed identities, control what patient information enters prompts, assess vendors against written criteria, and log usage for review. Enforce at runtime only the controls that technology can actually reach, and rely on policy and training for the rest.
Control layers for clinical answer engine governance
Governance of clinical answer engines rests on six control layers. The sections below follow them in order.
| Control layer | What it covers |
|---|---|
| Acceptable use | Approved and prohibited uses defined by clinical scenario. |
| Risk tiering | Controls scaled to how the output is used. |
| Identity and access | Managed, role-based accounts instead of personal ones. |
| Data handling | Rules and checks for PHI entering prompts. |
| Vendor assessment | Written criteria for terms, evidence sourcing, and logs. |
| Audit and monitoring | Usage records, review cadence, and escalation paths. |
Define the scope before writing policy
Treat clinical answer engines as a governable category of AI use, not a ban-or-allow decision. Start with acceptable use: define approved and prohibited uses by clinical scenario, so that physicians know where these tools fit and where they do not.
Tier approved use by how the output is used
Once approved uses are defined, tier them by risk. Controls should scale to how the output is used, so that the level of oversight matches the role the answer plays in the clinical workflow.
Control identity, access, and data flows
Identity and access
Tie access to managed identities. Use managed, role-based accounts instead of personal ones, so that usage can be attributed, reviewed, and revoked.
Data handling
Control what patient information enters prompts. Set rules for PHI entering prompts, and add checks that support those rules.
Vendor evaluation criteria for the governance committee
Assess vendors against written criteria. At a minimum, the criteria should address:
- Terms
- Evidence sourcing
- Logs
What can be enforced at runtime and what cannot
Not every control can be enforced by technology. Divide controls by what runtime tooling can reach.
Audit, monitor, and escalate
Log usage for review. Audit and monitoring depend on three elements: usage records, a defined review cadence, and escalation paths for issues that reviewers identify.
Plan enforceable controls for AI tool use
If your governance program needs runtime policy enforcement, least-privilege access, and audit logging for AI in your environment, speak with our team about where those controls fit.
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