ksb-d06-k0031

name	KSB-D06-K0031
description	Patient Risk Stratification: Machine learning models identifying patients at highest risk for medication errors...
version	1.0.0
domain	D06
domain_name	Medication Errors & Quality
type	Knowledge
proficiency_level	L1
bloom_level	remember
triggers	["explain patient risk stratification","what is patient risk stratification","define patient risk stratification"]
epa_mapping	EPA-01, EPA-07, EPA-09
cpa_mapping	CPA-01, CPA-03
regulatory_refs	FDA-CFR-001, FDA-CFR-003, ICH-E2A, ICH-E2B(R3), ICH-E2D, EMA-GVP-003

KSB-D06-K0031: Patient Risk Stratification

Overview

Domain: D06 - Medication Errors & Quality Type: Knowledge Proficiency Level: L1 (Novice - Direct supervision required) Bloom Level: Remember

Description

Machine learning models identifying patients at highest risk for medication errors

Context

• Major Section: Comprehensive Medication Error Taxonomy and Classification
• Section: Predictive Analytics and Risk Modeling

EPA Mapping

• EPA-01:3001-3003
• EPA-07:3016-3017
• EPA-09:3020-3022

CPA Pathway

• CPA-01, CPA-03

Regulatory References

• FDA-CFR-001
• FDA-CFR-003
• ICH-E2A
• ICH-E2B(R3)
• ICH-E2D
• EMA-GVP-003

Instructions

When this skill is activated, Claude should:

1. Demonstrate L1 proficiency in patient risk stratification
2. Apply remember level cognitive skills to define the topic
3. Reference relevant regulatory guidance (FDA-CFR-001, FDA-CFR-003, ICH-E2A, ICH-E2B(R3), ICH-E2D, EMA-GVP-003)
4. Connect to related EPAs: EPA-01, EPA-07, EPA-09

Key Competencies

• Machine learning models identifying patients at highest risk for medication errors

Assessment Criteria

• Can define core concepts independently
• Demonstrates understanding of regulatory context
• Applies knowledge appropriately to PV scenarios

Related Skills

• Other D06 skills in Predictive Analytics and Risk Modeling
• Cross-domain integrations per DAG architecture

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Generated from PV KSB Framework v1.0 | 2025-12-31