ksb-d10-k0107

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AI-Modeled Patient Preferences: Mastery of AI approaches for modeling patient preferences in benefit-risk including preference elici...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D10-K0107" description: "AI-Modeled Patient Preferences: Mastery of AI approaches for modeling patient preferences in benefit-risk including preference elici..." version: "1.0.0" domain: "D10" domain_name: "Benefit-Risk Assessment" type: "Knowledge" proficiency_level: "L4" bloom_level: "analyze" triggers: - "explain ai-modeled patient preferences" - "what is ai-modeled patient preferences" - "analyze ai-modeled patient preferences" epa_mapping: "EPA-03, EPA-05, EPA-08" cpa_mapping: "CPA-02, CPA-03" regulatory_refs: ""

KSB-D10-K0107: AI-Modeled Patient Preferences

Overview

Domain: D10 - Benefit-Risk Assessment Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Analyze

Description

Mastery of AI approaches for modeling patient preferences in benefit-risk including preference elicitation algorithms, heterogeneity modeling, subgroup preference prediction, and AI-integrated shared decision-making tools.

Context

  • Major Section: AI-Enhanced Benefit-Risk Assessment
  • Section: Patient Preference AI

EPA Mapping

  • EPA-03:3006-3008
  • EPA-05:3011-3012
  • EPA-08:3018-3019

CPA Pathway

  • CPA-02, CPA-03

Regulatory References

  • General PV competency

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L4 proficiency in ai-modeled patient preferences
  2. Apply analyze level cognitive skills to analyze the topic
  3. Reference relevant regulatory guidance (general PV standards)
  4. Connect to related EPAs: EPA-03, EPA-05, EPA-08

Key Competencies

  • Mastery of AI approaches for modeling patient preferences in benefit-risk including preference elicitation algorithms, heterogeneity modeling, subgroup preference prediction, and AI-integrated shared decision-making tools.

Assessment Criteria

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

Related Skills

  • Other D10 skills in Patient Preference AI
  • 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-d10-k0107
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