Loading...
Loading...
AI-powered clinical transcript feedback with ACGME competency-based 6-pass analysis
lattice template use lattice/clinical-evalThis will create a new workspace using this template configuration.
A non-provisioned evaluation template that configures the AI feedback pipeline for clinical transcripts. Uses a 6-pass analysis architecture to score transcripts across multiple dimensions.
| Pass | Weight | What it evaluates |
|---|---|---|
| Clinical Quality | 35% | History taking, physical exam, differential diagnosis, diagnostic/treatment plan |
| Communication | 25% | Rapport, active listening, explanations, shared decision making |
| Clinical Reasoning | 20% | Diagnostic reasoning, data integration, risk stratification |
| Professionalism | 15% | Documentation, time management, resource stewardship |
| Patient Safety | 5%* | Red flags, safety checks, follow-up planning |
| Synthesis | — | Combines all passes into overall score and narrative |
*Patient safety can override the overall rating if critical issues are found.
export LATTICE_URL=https://access.latticeruntime.com
export LATTICE_TOKEN=$(lattice tokens create)
./scripts/setup-evaluation-template.sh
All parameters are mutable and can be overridden per evaluation run:
anthropic or openaiclaude-sonnet-4-5-20250929, gpt-4oThe server must have an AI provider API key set:
ANTHROPIC_API_KEY for Claude modelsOPENAI_API_KEY for GPT models