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Ohio State University College of Dentistry deploys Amazon Q Business POCAA to give students instant chairside access to 9,000+ curriculum artifacts

“Ohio State University College of Dentistry deploys Amazon Q Business POCAA to give students instant chairside access to 9,000+ curriculum artifacts” documents a Clinical Decision Support deployment in Dental & Oral Health at The Ohio State University College of Dentistry. dentistry.osu.edu reports curriculum artifacts indexed: 9,000+; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
2 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

9,000+Curriculum Artifacts Indexed
100+Courses Covered

Source-reported figures — cited source: dentistry.osu.edu

The Challenge

Dental students must recall and integrate knowledge from thousands of hours of lectures and clinical protocols spanning 100+ courses across basic and clinical sciences. Accessing contextually relevant, curriculum-aligned information at the point of care during clinical rotations was a significant challenge, with students forced to manually search through disparate textbooks, notes, and clinical references.

The Solution

The college built POCAA (Point Of Care Chairside Academic Assistant) on Amazon Q Business using a RAG-based architecture. The system was trained exclusively on the college's own Pre-Doctoral and Dental Hygiene curriculum — 9,000+ artifacts across 100+ courses including lecture recordings, presentations, and syllabi. Students query the system in natural language and receive source-attributed, faculty-vetted responses that integrate knowledge across multiple dental disciplines.

Results

POCAA is currently in pilot rollout to faculty and students, with ongoing refinement of query guardrails and a sourcing accuracy model. The system provides 24/7 availability with automated ingestion of new course materials via Canvas API integration. It also supports curriculum quality improvement by surfacing redundancies, gaps, and inconsistencies through analysis of user query patterns — a capability described as first-of-its-kind at Ohio State.

Key Takeaways

  • Training an LLM exclusively on institutional curriculum (rather than general web data) ensures source reliability and faculty-vetted accuracy, which is critical for clinical education contexts.
  • RAG architecture with citation tracking allows students to verify answers and builds confidence in AI-assisted decision-making.
  • Capturing and analyzing user queries provides a secondary benefit: continuous curriculum evaluation that helps faculty identify gaps and redundancies at scale.

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Details

Company Size
Enterprise
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

Cited source

dentistry.osu.edu

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