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.
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.
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.
Explore Related
Details
- Industry
- Dental & Oral Health
- Use Case
- Clinical Decision Support
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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