ksb-d05-k0102

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AI-Enabled Trial Safety Prediction: Mastery of AI applications for predicting clinical trial safety outcomes including enrollment risk m...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D05-K0102" description: "AI-Enabled Trial Safety Prediction: Mastery of AI applications for predicting clinical trial safety outcomes including enrollment risk m..." version: "1.0.0" domain: "D05" domain_name: "Clinical Trials PV" type: "Knowledge" proficiency_level: "L4" bloom_level: "analyze" triggers: - "explain ai-enabled trial safety prediction" - "what is ai-enabled trial safety prediction" - "analyze ai-enabled trial safety prediction" epa_mapping: "EPA-02, EPA-04, EPA-08" cpa_mapping: "CPA-01, CPA-07" regulatory_refs: ""

KSB-D05-K0102: AI-Enabled Trial Safety Prediction

Overview

Domain: D05 - Clinical Trials PV Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Analyze

Description

Mastery of AI applications for predicting clinical trial safety outcomes including enrollment risk modeling, adverse event rate forecasting, dropout prediction algorithms, and safety stopping boundary optimization using machine learning.

Context

  • Major Section: AI in Clinical Trial Safety
  • Section: Predictive Trial Safety

EPA Mapping

  • EPA-02:3004-3005
  • EPA-04:3009-3010
  • EPA-08:3018-3019

CPA Pathway

  • CPA-01, CPA-07

Regulatory References

  • General PV competency

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L4 proficiency in ai-enabled trial safety prediction
  2. Apply analyze level cognitive skills to analyze the topic
  3. Reference relevant regulatory guidance (general PV standards)
  4. Connect to related EPAs: EPA-02, EPA-04, EPA-08

Key Competencies

  • Mastery of AI applications for predicting clinical trial safety outcomes including enrollment risk modeling, adverse event rate forecasting, dropout prediction algorithms, and safety stopping boundary optimization using machine learning.

Assessment Criteria

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

Related Skills

  • Other D05 skills in Predictive Trial Safety
  • 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-d05-k0102
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