Healthcare
Use ChatGPT and Claude on clinical data — without a BAA gap
Your teams are already using AI. Shield puts a governed gateway in front of every model so protected health information is redacted before dispatch, requests reach only services covered by a business associate agreement with Zero Data Retention, and each call is logged against a named user and purpose. Clinicians keep the tools they like; compliance keeps the evidence it needs.
The exposure is already happening
In most health systems we review, staff are pasting discharge summaries, prior authorization letters, and payer correspondence into consumer AI tools — on personal accounts, from personal devices, with no agreement covering any of it. Policy says no. The work says yes. The gap is where breaches live.
Blocking the tools moves the traffic somewhere you cannot see. Shield takes the other route: make the sanctioned path the easy one, then enforce HIPAA at the wire.

PHI never leaves in the clear
Identifiers are detected and stripped before the request is dispatched, and restored in the answer your clinician reads. The model sees the clinical question, not the patient.
Only models under covered terms
An allow-list restricted to services under a business associate agreement with retention disabled. A new, faster endpoint cannot quietly become a coverage gap.
Audit evidence as a by-product
Every request is bound to an identity, role, and purpose, and logged immutably — the record your compliance officer hands an assessor without a special project.
Workflows healthcare teams route through Shield first
- Clinical documentation support — summarizing notes and drafting letters without sending the full chart.
- Prior authorization and appeals drafting from payer correspondence.
- Revenue cycle and coding assistance on claims data.
- Patient communication drafts reviewed by staff before sending.
- Internal policy, quality, and research question answering over your own documents.
What a 30-day rollout looks like
- Week 1 — readiness review: which AI surfaces are in use, where data goes, what your current policy misses.
- Week 2 — route one workflow through Shield with redaction rules and an approved model list.
- Week 3 — bind access to your identity provider and confirm the audit record satisfies your assessor.
- Week 4 — widen to the next workflow. No tool bans, no clinician retraining.
Shield supports HIPAA-aligned controls and produces the evidence assessors ask for; it is not itself a certification, and your own agreements and policies still govern what your teams may do. See how the HIPAA controls map in detail.
Frequently asked questions
Can clinicians use ChatGPT or Claude on patient data?
Only when the specific service is covered by a business associate agreement, retention is disabled, and every request is attributable to a person and purpose. Consumer accounts never qualify. Shield routes requests only to models under covered terms and minimizes protected health information before anything leaves your perimeter.
Do we have to block AI tools to stay compliant?
No, and bans generally fail. Staff move to personal devices, which removes your visibility entirely. A sanctioned path that is faster than the unsanctioned one is what actually reduces exposure.
What evidence does this produce for an audit?
An immutable per-request log showing who accessed what, for which purpose, which model handled it, and what was redacted before dispatch — mapped to HIPAA access, audit, and transmission safeguards, and reusable for SOC 2 and ISO 27001.
How long does a rollout take?
Most healthcare teams route their first workflow through Shield within 30 days. Nothing changes for end users beyond the endpoint their tools call.
Does data leave our approved jurisdictions?
No. Routing is residency-aware, so requests only reach models in regions you have approved.
