AI Assistant Safety Controls for a Healthcare Network
Designing a patient-facing assistant that answers only from approved content, with strong safety and escalation controls.
Representative scenario based on the kinds of projects AWZ handles. Client names and proof are private. Targets are agreed and measured per project — published figures are not audited outcomes.
Representative client profile
Healthcare client
Understanding the Problem
A healthcare organization wanted an assistant to handle routine patient questions. Patient safety and compliance were the primary concerns, so they required strict limits: only approved content, clear escalation to staff, and no medical advice from general-purpose models.
How We Solved It
We designed a RAG-grounded assistant that answered only from the client's approved, reviewed knowledge base, refused diagnosis or treatment questions, routed sensitive topics promptly to staff, and maintained audit trails. Compliance (e.g. HIPAA) is the client's responsibility verified with their counsel and environment; we supported the design of controls and documentation.
What We Measure
These are the measures we would define and validate with the client. They are not published client results.
Hallucination risk
Risk is reduced by grounding responses in approved content; zero hallucination is not claimed. Evaluated over a defined test sample.
Containment
The scope of automated responses depends on approved knowledge base coverage and escalation policies.
Accuracy
Validated against the approved corpus using a defined evaluation set and scoring methodology.
Compliance
HIPAA audits belong to the covered entity and its environment; not a vendor result claim.
Technologies Used
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