| name | KSB-D03-K0092 |
| description | AI-Enhanced Rare ADR Identification: Mastery of AI approaches for identifying rare ADRs including small sample learning techniques, anoma... |
| version | 1.0.0 |
| domain | D03 |
| domain_name | Important ADRs Recognition |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | analyze |
| triggers | ["explain ai-enhanced rare adr identification","what is ai-enhanced rare adr identification","analyze ai-enhanced rare adr identification"] |
| epa_mapping | EPA-01, EPA-02, EPA-05 |
| cpa_mapping | CPA-01, CPA-02 |
| regulatory_refs | |
KSB-D03-K0092: AI-Enhanced Rare ADR Identification
Overview
Domain: D03 - Important ADRs Recognition
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Analyze
Description
Mastery of AI approaches for identifying rare ADRs including small sample learning techniques, anomaly detection algorithms, cross-database rare event pooling, and AI-assisted signal amplification methods.
Context
- Major Section: AI-Enhanced ADR Recognition
- Section: Rare ADR Detection
EPA Mapping
- EPA-01:3001-3003
- EPA-02:3004-3005
- EPA-05:3011-3012
CPA Pathway
Regulatory References
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in ai-enhanced rare adr identification
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-01, EPA-02, EPA-05
Key Competencies
- Mastery of AI approaches for identifying rare ADRs including small sample learning techniques, anomaly detection algorithms, cross-database rare event pooling, and AI-assisted signal amplification methods.
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D03 skills in Rare ADR Detection
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31