ksb-d02-k0074

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AI-Predicted ADR Risk Factors: Understanding of machine learning models for predicting individual patient ADR risk including geneti...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D02-K0074" description: "AI-Predicted ADR Risk Factors: Understanding of machine learning models for predicting individual patient ADR risk including geneti..." version: "1.0.0" domain: "D02" domain_name: "Clinical Aspects of ADRs" type: "Knowledge" proficiency_level: "L4" bloom_level: "analyze" triggers: - "explain ai-predicted adr risk factors" - "what is ai-predicted adr risk factors" - "analyze ai-predicted adr risk factors" epa_mapping: "EPA-01, EPA-02, EPA-05" cpa_mapping: "CPA-01, CPA-02" regulatory_refs: ""

KSB-D02-K0074: AI-Predicted ADR Risk Factors

Overview

Domain: D02 - Clinical Aspects of ADRs Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Analyze

Description

Understanding of machine learning models for predicting individual patient ADR risk including genetic susceptibility algorithms, polypharmacy interaction prediction, comorbidity risk modeling, and population-specific risk stratification using AI-derived insights.

Context

  • Major Section: AI-Enhanced ADR Analysis
  • Section: Predictive ADR Assessment

EPA Mapping

  • EPA-01:3001-3003
  • EPA-02:3004-3005
  • EPA-05:3011-3012

CPA Pathway

  • CPA-01, CPA-02

Regulatory References

  • General PV competency

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L4 proficiency in ai-predicted adr risk factors
  2. Apply analyze level cognitive skills to analyze the topic
  3. Reference relevant regulatory guidance (general PV standards)
  4. Connect to related EPAs: EPA-01, EPA-02, EPA-05

Key Competencies

  • Understanding of machine learning models for predicting individual patient ADR risk including genetic susceptibility algorithms, polypharmacy interaction prediction, comorbidity risk modeling, and population-specific risk stratification using AI-derived insights.

Assessment Criteria

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

Related Skills

  • Other D02 skills in Predictive ADR Assessment
  • Cross-domain integrations per DAG architecture

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

Install via CLI
npx skills add https://github.com/nexvigilant/.true --skill ksb-d02-k0074
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