ksb-d05-k0037

name: "KSB-D05-K0037" description: "Dose Optimization Algorithms: AI-driven dose selection and modification recommendations..." version: "1.0.0" domain: "D05" domain_name: "Clinical Trials PV" type: "Knowledge" proficiency_level: "L4" bloom_level: "evaluate" triggers: - "explain dose optimization algorithms" - "what is dose optimization algorithms" - "evaluate dose optimization algorithms" epa_mapping: "EPA-02, EPA-04, EPA-08" cpa_mapping: "CPA-01, CPA-07" regulatory_refs: "EMA-REG-004, ICH-E6"

KSB-D05-K0037: Dose Optimization Algorithms

Overview

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

Description

AI-driven dose selection and modification recommendations

Context

• Major Section: Clinical Trial Regulatory Framework and Safety Requirements
• Section: Predictive Analytics and Machine Learning

EPA Mapping

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

CPA Pathway

• CPA-01, CPA-07

Regulatory References

• EMA-REG-004
• ICH-E6

Instructions

When this skill is activated, Claude should:

1. Demonstrate L4 proficiency in dose optimization algorithms
2. Apply evaluate level cognitive skills to evaluate the topic
3. Reference relevant regulatory guidance (EMA-REG-004, ICH-E6)
4. Connect to related EPAs: EPA-02, EPA-04, EPA-08

Key Competencies

• AI-driven dose selection and modification recommendations

Assessment Criteria

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

Related Skills

• Other D05 skills in Predictive Analytics and Machine Learning
• Cross-domain integrations per DAG architecture

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