Category: HPF-P Framework

Holistic Prediction Framework for Pharmaceutical Portfolios

HPF-P in Practice: Deployment Lessons and Future Directions

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19417989  85stabilfr·wdophcgmx
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (89 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

The Heuristic Prediction Framework for Pharma (HPF-P) has been developed across fourteen articles in this series, from its theoretical foundations through DRI calibration, DRL operationalization, multi-scenario stress testing, and regulatory compliance integration. This final article synthesizes deployment experience from pharmaceutical portfolio contexts and identifies the principal lessons le...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19417989 85stabilfr·wdophcgmx
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[s]Reviewed Sources63%○≥80% from editorially reviewed sources
[t]Trusted95%✓≥80% from verified, high-quality sources
[a]DOI79%○≥80% have a Digital Object Identifier
[b]CrossRef63%○≥80% indexed in CrossRef
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[w]Words [REQ]2,064✓Minimum 2,000 words for a full research article. Current: 2,064
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19417989
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]87%✓≥60% of references from 2025–2026. Current: 87%
[c]Data Charts3✓Original data charts from reproducible analysis (min 2). Current: 3
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (89 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Regulatory Compliance Integration: Aligning DRL with Pharmaceutical Frameworks

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19414906  83stabilfr·wdophcgmx
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[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI88%✓≥80% have a Digital Object Identifier
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[i]Indexed88%✓≥80% have metadata indexed
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[f]Free Access100%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
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[g]Code✓✓Source code available on GitHub
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (85 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

Pharmaceutical organizations face increasing pressure to align their internal decision-making processes with externally imposed regulatory frameworks — ICH quality guidelines, FDA 21 CFR Part 11, EMA guidance on AI, and the revised ICH GCP E6(R3). The HPF-P Framework's Decision Readiness Level (DRL) provides a structured five-stage readiness ladder, yet its integration with formal compliance re...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19414906 83stabilfr·wdophcgmx
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[s]Reviewed Sources41%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI88%✓≥80% have a Digital Object Identifier
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[i]Indexed88%✓≥80% have metadata indexed
[l]Academic88%✓≥80% from journals/conferences/preprints
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[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,289✓Minimum 2,000 words for a full research article. Current: 2,289
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[g]Code✓✓Source code available on GitHub
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (85 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Real-Time DRI Monitoring: Continuous Decision Readiness Assessment

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19412430  84stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI81%✓≥80% have a Digital Object Identifier
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (87 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

Decision Readiness Index (DRI) is the core metric of the HPF-P framework — a scalar signal summarising the information completeness required before a pharmaceutical portfolio decision can be trusted. Yet a single DRI snapshot provides only a point-in-time view. This article investigates how continuous, real-time monitoring of DRI signals transforms static readiness scores into dynamic control l...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19412430 84stabilfr·wdophcgmx
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[s]Reviewed Sources19%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI81%✓≥80% have a Digital Object Identifier
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[l]Academic81%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]2,007✓Minimum 2,000 words for a full research article. Current: 2,007
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[h]Freshness [REQ]92%✓≥60% of references from 2025–2026. Current: 92%
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[g]Code✓✓Source code available on GitHub
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (87 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Comparative Benchmarking: HPF-P vs Traditional Portfolio Methods

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19380196  75stabilfr·wdophcgmx
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[a]DOI80%✓≥80% have a Digital Object Identifier
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[h]Freshness [REQ]83%✓≥60% of references from 2025–2026. Current: 83%
[c]Data Charts3✓Original data charts from reproducible analysis (min 2). Current: 3
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (83 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)

This article presents a systematic comparative benchmarking of the Heuristic Prediction Framework for Pharmaceuticals (HPF-P) against three established portfolio management approaches: Markowitz mean-variance optimisation, Black-Litterman allocation, and naive machine-learning selectors. Drawing on validated benchmarks from the HPF-P stress-testing study and supplemented by newly collected comp...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19380196 75stabilfr·wdophcgmx
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[s]Reviewed Sources27%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI80%✓≥80% have a Digital Object Identifier
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]83%✓≥60% of references from 2025–2026. Current: 83%
[c]Data Charts3✓Original data charts from reproducible analysis (min 2). Current: 3
[g]Code✓✓Source code available on GitHub
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (83 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
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Multi-Scenario Stress Testing for HPF-P Pharmaceutical Portfolios

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19273234  89stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI87%✓≥80% have a Digital Object Identifier
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[l]Academic87%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]83%✓≥60% of references from 2025–2026. Current: 83%
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[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (96 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

Pharmaceutical portfolio management operates under persistent uncertainty from supply chain disruptions, regulatory shifts, and demand volatility. While the HPF-P framework provides Decision Readiness Index (DRI) and Decision Readiness Level (DRL) metrics for portfolio assessment, their behavior under extreme stress conditions remains uncharacterized. This article develops a multi-scenario stre...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19273234 89stabilfr·wdophcgmx
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[s]Reviewed Sources73%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI87%✓≥80% have a Digital Object Identifier
[b]CrossRef73%○≥80% indexed in CrossRef
[i]Indexed93%✓≥80% have metadata indexed
[l]Academic87%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]2,652✓Minimum 2,000 words for a full research article. Current: 2,652
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19273234
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]83%✓≥60% of references from 2025–2026. Current: 83%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (96 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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HPF-P Validation Studies: Empirical Benchmarking of Decision Readiness Across Pharmaceutical Contexts

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19129094  72stabilfr·wdophcgmx
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[a]DOI75%○≥80% have a Digital Object Identifier
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[l]Academic83%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19129094
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[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (86 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The Heuristic Prediction Framework for Pharma (HPF-P) provides a structured methodology for assessing decision readiness in pharmaceutical portfolio management through the Decision Readiness Index (DRI) and Decision Readiness Level (DRL). However, any theoretical framework requires rigorous empirical validation before it can claim operational utility. This article presents a comprehensive valid...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19129094 72stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI75%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic83%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References12 refs✓Minimum 10 references required
[w]Words [REQ]2,500✓Minimum 2,000 words for a full research article. Current: 2,500
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19129094
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]11%✗≥60% of references from 2025–2026. Current: 11%
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[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (86 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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DRI Calibration Methodology: Empirical Approaches to Threshold Optimization in Pharmaceutical Decision Systems

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19102033  59stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted72%○≥80% from verified, high-quality sources
[a]DOI56%○≥80% have a Digital Object Identifier
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[i]Indexed56%○≥80% have metadata indexed
[l]Academic78%○≥80% from journals/conferences/preprints
[f]Free Access83%✓≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,606✓Minimum 2,000 words for a full research article. Current: 2,606
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19102033
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]53%✗≥60% of references from 2025–2026. Current: 53%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (64 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Threshold calibration represents the bridge between theoretical decision indices and operational pharmaceutical portfolio management. The HPF-P framework defines DRI as a composite measure of data completeness, model confidence, and environmental stability — but the boundaries between "decide," "defer," and "escalate" zones require empirical determination. We present a three-stage calibration m...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19102033 59stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted72%○≥80% from verified, high-quality sources
[a]DOI56%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed56%○≥80% have metadata indexed
[l]Academic78%○≥80% from journals/conferences/preprints
[f]Free Access83%✓≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,606✓Minimum 2,000 words for a full research article. Current: 2,606
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19102033
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]53%✗≥60% of references from 2025–2026. Current: 53%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (64 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Integrating DRI and DRL: A Unified Decision Readiness Assessment Protocol for HPF-P

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19071139  64stabilfr·wdophcgmx
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[s]Reviewed Sources22%○≥80% from editorially reviewed sources
[t]Trusted83%✓≥80% from verified, high-quality sources
[a]DOI56%○≥80% have a Digital Object Identifier
[b]CrossRef17%○≥80% indexed in CrossRef
[i]Indexed89%✓≥80% have metadata indexed
[l]Academic61%○≥80% from journals/conferences/preprints
[f]Free Access67%○≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,241✓Minimum 2,000 words for a full research article. Current: 2,241
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19071139
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]56%✗≥60% of references from 2025–2026. Current: 56%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (73 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The Heuristic Prediction Framework for Pharma (HPF-P) introduced two complementary constructs for evaluating decision quality in AI-augmented pharmaceutical portfolio management: the Decision Readiness Index (DRI), which quantifies information sufficiency, and the Decision Readiness Level (DRL), which assesses organizational maturity. While each metric addresses a distinct dimension of readines...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19071139 64stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources22%○≥80% from editorially reviewed sources
[t]Trusted83%✓≥80% from verified, high-quality sources
[a]DOI56%○≥80% have a Digital Object Identifier
[b]CrossRef17%○≥80% indexed in CrossRef
[i]Indexed89%✓≥80% have metadata indexed
[l]Academic61%○≥80% from journals/conferences/preprints
[f]Free Access67%○≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,241✓Minimum 2,000 words for a full research article. Current: 2,241
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19071139
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]56%✗≥60% of references from 2025–2026. Current: 56%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (73 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Decision Readiness Level (DRL): Operationalizing Maturity Assessment for AI-Augmented Pharmaceutical Portfolio Management

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Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19059359  67stabilfr·wdophcgmx
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The Heuristic Prediction Framework for Pharma (HPF-P) defines decision readiness through two complementary constructs: the Decision Readiness Index (DRI), which quantifies information sufficiency for a given decision context, and the Decision Readiness Level (DRL), which measures organizational maturity in applying AI-augmented decision processes. While previous work formalized DRI as a continu...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.19059359 67stabilfr·wdophcgmx
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[s]Reviewed Sources7%○≥80% from editorially reviewed sources
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[a]DOI50%○≥80% have a Digital Object Identifier
[b]CrossRef7%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic64%○≥80% from journals/conferences/preprints
[f]Free Access57%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,268✓Minimum 2,000 words for a full research article. Current: 2,268
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19059359
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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[h]Freshness [REQ]69%✓≥60% of references from 2025–2026. Current: 69%
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[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
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HPF-P Platform Architecture: From Theoretical Framework to Production System

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Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18855053  81stabilfr·wdophcgmx
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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 81stabilfr·wdophcgmx
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[i]Indexed100%✓≥80% have metadata indexed
[l]Academic100%✓≥80% from journals/conferences/preprints
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