By name: "KSB-D06-K0100" description: "AI Error Prediction Modeling: Understanding of AI models for medication error prediction including near-miss pattern recognition, ..." version: "1.0.0" domain: "D06" domain_name: "Medication Errors & Quality" type: "Knowledge" proficiency_level: "L4" bloom_level: "analyze" triggers: - "explain ai error prediction modeling" - "what is ai error prediction modeling" - "analyze ai error prediction modeling" epa_mapping: "EPA-01, EPA-07, EPA-09" cpa_mapping: "CPA-01, CPA-03" regulatory_refs: ""
KSB-D06-K0100: AI Error Prediction Modeling
Overview
Domain: D06 - Medication Errors & Quality Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Analyze
Description
Understanding of AI models for medication error prediction including near-miss pattern recognition, high-risk situation identification, temporal risk variation modeling, and machine learning approaches for prevention resource optimization.
Context
- Major Section: AI in Medication Error Prevention
- Section: Predictive Error Analytics
EPA Mapping
- EPA-01:3001-3003
- EPA-07:3016-3017
- EPA-09:3020-3022
CPA Pathway
- CPA-01, CPA-03
Regulatory References
- General PV competency
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in ai error prediction modeling
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-01, EPA-07, EPA-09
Key Competencies
- Understanding of AI models for medication error prediction including near-miss pattern recognition, high-risk situation identification, temporal risk variation modeling, and machine learning approaches for prevention resource optimization.
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D06 skills in Predictive Error Analytics
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31