ksb-d09-k0012

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Natural Language Processing Applications: Automated medical concept extraction, clinical narrative analysis, adverse event identification from...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D09-K0012" description: "Natural Language Processing Applications: Automated medical concept extraction, clinical narrative analysis, adverse event identification from..." version: "1.0.0" domain: "D09" domain_name: "Post-Authorization Studies" type: "Knowledge" proficiency_level: "L1" bloom_level: "understand" triggers: - "explain natural language processing applications" - "what is natural language processing applications" - "explain natural language processing applications" epa_mapping: "EPA-02, EPA-04, EPA-05" cpa_mapping: "CPA-02, CPA-07" regulatory_refs: "FDA-STAT-001, FDA-CFR-006, EMA-GVP-009"

KSB-D09-K0012: Natural Language Processing Applications

Overview

Domain: D09 - Post-Authorization Studies Type: Knowledge Proficiency Level: L1 (Novice - Direct supervision required) Bloom Level: Understand

Description

Automated medical concept extraction, clinical narrative analysis, adverse event identification from unstructured text

Context

  • Major Section: Post-Authorization Study Design Framework and Methodological Foundation
  • Section: Advanced AI-Enhanced Research Methodologies

EPA Mapping

  • EPA-02:3004-3005
  • EPA-04:3009-3010
  • EPA-05:3011-3012

CPA Pathway

  • CPA-02, CPA-07

Regulatory References

  • FDA-STAT-001
  • FDA-CFR-006
  • EMA-GVP-009

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L1 proficiency in natural language processing applications
  2. Apply understand level cognitive skills to explain the topic
  3. Reference relevant regulatory guidance (FDA-STAT-001, FDA-CFR-006, EMA-GVP-009)
  4. Connect to related EPAs: EPA-02, EPA-04, EPA-05

Key Competencies

  • Automated medical concept extraction, clinical narrative analysis, adverse event identification from unstructured text

Assessment Criteria

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

Related Skills

  • Other D09 skills in Advanced AI-Enhanced Research Methodologies
  • 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-d09-k0012
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