34 recorded assessments.
The didactic testing record spans 11 course groupings in term groups 5–8, including complex care and pediatrics.
Research at DriveHealth
Build the intelligence.
Engineer the responsibility.
We develop the models and systems behind Avery: proprietary clinical representations, deterministic decision control, and continuity across conversations.
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Models built to recognize clinical context.
DriveHealth develops proprietary clinical embedding models to represent the language and context of care.
- Foundation
- Proprietary representations
- Focus
- Clinical language
- Role
- Interpret evidence
Purpose-built clinical intelligence
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Our research foundations
Three layers. Distinct questions.
Clinical AI models
Purpose-built models turn clinical language into structured evidence for the DCE.
ExploreDeterministic Clinical Engine
Apply explicit clinical rules to workflow actions, response requirements, and escalation.
ExploreMemory & continuity
Designed to recall relevant phone-call context after identity verification.
ExploreAvery’s clinical development
Development with a documented record.
DriveHealth’s educational work with Arizona State University is part of Avery’s development. The didactic testing record covers 34 assessments across 11 course groupings, with question-level review guiding further evaluation. Separately, DriveHealth is pursuing a clinical AI licensure pathway.
Licensure pathway in progress. Avery is not currently a licensed clinician; no clinical license has been granted. Educational work and assessment results do not constitute licensure, regulatory authorization, or evidence of patient outcomes.
Clinical learning & evaluation
Learning with a record behind it.
Avery’s development includes didactic knowledge assessments, review of individual responses, and a defined plan for testing workflow consistency. Each provides a different view of the system.
Review at the question level.
Answers, reasoning, grading adjustments, and proposed retakes are documented to focus the next round of improvement.
A plan for repeatable evaluation.
A 12-week internship project scope defines regression testing for purposeful rounding and patient education, using reference responses and scoring rubrics.
Assessment coverage describes the development record. The regression-testing scope describes planned work; neither is a clinical license or a measure of patient outcomes.
Evaluation in context
Understand the evidence behind the system.
Model assessments, software regression tests, clinical scenarios, and deployment validation measure different parts of the technology. Our team can discuss the scope and evidence relevant to your proposed program.
- Specialized model interpretation
- Complete interaction pathways
- Clinical boundaries and human review
Clinical controlIllustrative preview
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Understand what happened, and when.
The documented architecture distinguishes current, historical, and resolved information before interpreting clinical signals.
- Input
- Conversation evidence
- Timing
- Current · historical · resolved
- Uncertainty
- Retained for review
Temporal context
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