ksb-d13-k0018

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Real-World Evidence Generation: AI-powered analysis of global health databases, automated evidence synthesis across international st...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D13-K0018" description: "Real-World Evidence Generation: AI-powered analysis of global health databases, automated evidence synthesis across international st..." version: "1.0.0" domain: "D13" domain_name: "Global PV & Public Health" type: "Knowledge" proficiency_level: "L4" bloom_level: "evaluate" triggers: - "explain real-world evidence generation" - "what is real-world evidence generation" - "evaluate real-world evidence generation" epa_mapping: "EPA-18, EPA-19" cpa_mapping: "CPA-06, CPA-07" regulatory_refs: "EMA-GVP-011, UK-MHRA-011"

KSB-D13-K0018: Real-World Evidence Generation

Overview

Domain: D13 - Global PV & Public Health Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Evaluate

Description

AI-powered analysis of global health databases, automated evidence synthesis across international studies, machine learning for population health impact assessment, predictive modeling for medication effectiveness across populations

Context

  • Major Section: Global Health System Architecture and Pharmaceutical Organization Strategy
  • Section: AI-Enhanced Population Health Monitoring and Evidence Generation

EPA Mapping

  • EPA-18:3039-3040
  • EPA-19:3041-3042

CPA Pathway

  • CPA-06, CPA-07

Regulatory References

  • EMA-GVP-011
  • UK-MHRA-011

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L4 proficiency in real-world evidence generation
  2. Apply evaluate level cognitive skills to evaluate the topic
  3. Reference relevant regulatory guidance (EMA-GVP-011, UK-MHRA-011)
  4. Connect to related EPAs: EPA-18, EPA-19

Key Competencies

  • AI-powered analysis of global health databases, automated evidence synthesis across international studies, machine learning for population health impact assessment, predictive modeling for medication effectiveness across populations

Assessment Criteria

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

Related Skills

  • Other D13 skills in AI-Enhanced Population Health Monitoring and Evidence Generation
  • 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-d13-k0018
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