This research aims to operationalize the Decision Readiness Level (DRL) framework for evaluating AI integration in pharmaceutical portfolio management.
Develop a framework for Decision Readiness Level assessment
Integrate AI methodologies into portfolio management practices
Analyze current maturity models in the pharmaceutical industry
Identified key factors impacting decision readiness in AI applications
Proposed a structured maturity assessment model
Demonstrated potential improvements in portfolio management efficiency through AI integration
Resumen
Research article: Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management