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

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