Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

Oleh Ivchenko

doi:10.5281/zenodo.19059358

March 17, 2026Open Access

Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

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Key Points

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

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Implication

Research article operationalizes maturity assessment for AI-augmented pharmaceutical portfolio management, suggesting significant implications for industry practices.

Abstract

Research article: Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

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Oleh Ivchenko (2026) studied this question.

synapsesocial.com/papers/69bb9321496e729e62980fc5 https://doi.org/10.5281/zenodo.19059358

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Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

Key Points

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Implication

Abstract

Discussion

Cite This Study

Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

Key Points

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Implication

Abstract

Discussion

Cite This Study

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