Healthcare

A grounded AI assistant for clinical staff

A healthcare provider's staff spent hours searching policy and clinical documents. We built a grounded AI assistant with strict guardrails that cut search time and earned clinician trust.

ClientNational Healthcare Network
Timeline5 months
Year2025
-68%Document search time
94%Answer accuracy (eval set)
100%Answers with citations

The challenge

Clinicians and admin staff were losing time hunting through thousands of policy and reference documents, and accuracy was non-negotiable.

An off-the-shelf chatbot was a non-starter: it hallucinated and offered no data governance.

Our approach

We built a retrieval pipeline grounded strictly in approved documents, with citations on every answer and guardrails that decline rather than guess.

An evaluation harness measured answer quality against a clinician-reviewed test set before anything reached staff.

The solution

A private, grounded assistant that answers from approved sources with citations, deployed inside the network's secure environment.

Continuous evaluation, monitoring, and a feedback loop keep quality high as documents change.

Highlights
  • Private deployment, no training on patient data
  • Citations and guardrails for clinical trust
  • Evaluation harness gating every release
Technology
PythonLangChainVector DBAnthropicAWSReact
They understood that in healthcare, a confident wrong answer is worse than no answer. The guardrails and citations are why our clinicians actually trust it.
Director of Clinical InformaticsNational Healthcare Network
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