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Category: HPF-P Framework

Holistic Prediction Framework for Pharmaceutical Portfolios

HPF-P Platform Architecture: From Theoretical Framework to Production System

Posted on March 3, 2026March 4, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18855053

The preceding section established the conceptual foundations of the Decision Readiness Index (DRI) and Decision Readiness Levels (DRL) as diagnostic instruments for governing portfolio decisions under structural uncertainty. The present section describes the architecture of HPF-P (Holistic Portfolio Framework — Platform), the production system that operationalises these theoretical constructs i...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18855053
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HPF-P Platform Technical Overview: From Specification to Deployment

Posted on March 3, 2026March 4, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845469

HPF-P is the reference implementation of the Holistic Portfolio Framework (HPF), providing a web-based platform for pharmaceutical portfolio decision support through DRI computation, DRL assignment, and strategy-appropriate optimization. This paper provides a technical overview of HPF-P: its architecture, API design, core algorithms, and deployment configuration. We describe the spec-driven dev...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845469
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Environmental Entropy and Pharma Portfolio Stability: Ukraine Market Analysis

Posted on March 3, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845461

Portfolio decision quality degrades when environmental entropy — the degree of unpredictability in the market system — exceeds the capacity of available information to characterize it. This paper formalizes the concept of environmental entropy in the context of pharmaceutical portfolio management and demonstrates its impact on Decision Readiness Index (DRI) dimension R5 (temporal stability). We...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845461
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Five-Level Portfolio Optimization: From Abstention to Multi-Objective AI

Posted on March 3, 2026March 5, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845442

The Decision Readiness Levels (DRL) framework prescribes one of five optimization strategies for each pharmaceutical portfolio segment, conditioned on that segment's Decision Readiness Index (DRI) score. This paper provides a complete specification of DRL-1 through DRL-5: the conditions under which each level is appropriate, the optimization methods employed at each level, the mathematical form...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845442
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Decision Readiness Index (DRI): Measuring Information Sufficiency for Portfolio Decisions

Posted on March 3, 2026March 11, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845429

Effective pharmaceutical portfolio optimization requires not only capable algorithms but also information of sufficient quality to support those algorithms. This paper provides a formal specification of the Decision Readiness Index (DRI), the core diagnostic component of the Holistic Portfolio Framework (HPF). DRI quantifies information sufficiency across five dimensions — data completeness (R1...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845429
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HPF: A Holistic Framework for Decision-Readiness in Pharmaceutical Portfolio Management

Posted on March 3, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845421

Pharmaceutical portfolio management operates at the intersection of scientific uncertainty, regulatory complexity, and market volatility. Traditional optimization approaches assume a stable, well-characterized information environment — an assumption that routinely fails in practice, particularly in emerging markets subject to geopolitical disruption. This paper introduces the Holistic Portfolio...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845421
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