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How We Build the Therapeutic Impact Score

How We Build the Therapeutic Impact Score

Primary data from global health and regulatory bodies, routed through five analytical pillars, peer-adjusted by therapeutic cluster — producing a single, comparable Therapeutic Impact Score for every covered company.

DATA SOURCES
PILLAR PROCESSING
AGGREGATION
OUTPUT
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Methodology

EbiCap — Methodology & Framework

One question drives EbiCap: do pharmaceutical companies generate clinical value for society proportional to the financial capital they extract from it? We automate the answer — producing the Therapeutic Impact Score (TIS), a subjective-free ranking of 633 publicly listed pharmaceutical companies.

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Mission

Make the relationship between pharmaceutical R&D investment, clinical benefit, and public health outcomes legible, measurable, and comparable across every major company.

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Approach

Automated, reproducible pipelines built on globally recognised public health and regulatory data — rebuilt continuously, with full audit trails from source to score.

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Independence

No pharma industry funding. No proprietary data access. Every number in the platform can be traced to a primary public source, ensuring complete objectivity.

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Why We Exist

Most drugs approved today represent Low-Value Incrementalism — marginal improvements within already-treated conditions, priced as if they were breakthroughs. EbiCap makes that gap visible at company level, at scale.

Why We Exist

The Incrementalism Problem

Indicative trend · Era Periodization
1975–1995
91%
2010–2019
22%
78%
2020–present
31%
69%
Genuine clinical advanceLow-Value Incrementalism
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The Five Pillars

The Therapeutic Impact Score — Five Pillars

P1

Clinical Benefit & Access

Health Technology Assessment (HTA) ratings from major international regulators mapped onto a standardised benefit ladder. The primary signal: what benefit do patients actually receive relative to existing treatments, and is that benefit accessible at a proportionate price?

P2

Pipeline Quality & Innovation

Pipeline quality — not size. Companies targeting genuine unmet needs with regulatory designations evidencing meaningful improvement score higher than expansive pipelines of incremental or copycat compounds. Includes a trial-transparency sub-score for publication rate, active comparator usage, and demographic representation (Sex, Race, Age).

P3

Capital Stewardship

How companies deploy the capital they generate — measuring the balance between research reinvestment and shareholder extraction (buybacks + dividends). Executive compensation structures are classified using the Value-Centric Stewardship (VCS) taxonomy.

P4

Disease Burden Alignment

Strategic alignment with true unmet need, measured against global disease burden data. Includes a Diversity Penalty: companies whose trials fail to reflect the demographics of the affected disease population (e.g., gender or racial skew) receive a score reduction.

P5

R&D Productivity & Attribution

How efficiently research investment converts to approved output. Where approved drugs extensively cite publicly-funded foundational research, a Public Science Attribution adjustment reduces the private R&D efficiency credit.

Context Layer

Context Layer

Peer Normalisation

A raw score means nothing without context. A Therapeutic Impact Score of 62 in Oncology — the most competitive, best-resourced therapeutic cluster — represents a fundamentally different achievement from a score of 62 in Rare Disease, where trial infrastructure is scarcer and patient populations smaller. EbiCap adjusts for this through two context layers applied after the five-pillar composite is calculated.

Layer 1 — Therapeutic Cluster Normalisation

Companies are grouped into one of 17 ICD-10 chapter clusters based on where the plurality of their registered trials operate. Each company's score is normalised against its cluster's mean and spread.

Layer 2 — Ownership Risk Adjustment

Using public institutional holdings data, we adjust for shareholder concentration. Do the principal shareholders demand accountability — or tolerate value extraction?

Actionable Signals

Actionable Signals

What the Score Enables

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Identify Unearned Premiums

Spot companies commanding premium valuations on the basis of pipeline size, not quality.

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Disease Burden Gaps

Identify therapeutic areas where capital is concentrated relative to global disease burden.

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R&D Decoupling Signal

Flag companies whose R&D spend growth is decoupled from HTA-validated output.

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ESG Health Benchmark

Integration of health-impact quantitative benchmarks into existing sustainability frameworks.

Case Study

Sector Benchmarking

Peer-Adjusted

Impact in Action — Neurology Cluster

RankCompanyTISDriver NoteSources
01Neurology Specialist74Pioneer in rare disease; strong clinical OS endpoints; high reinvestment.
HTA ScoreTrial Registry
02Global Therapeutic Leader68Broad neurology alignment with high-severity Burden Gaps.
Disease BurdenHTA Score
---Avg. Peer41Sector mean impacted by high surrogate-endpoint reliance.
18Industry Mid-Cap2290% me-too pipeline; executive pay tied to volume not value.
VCSi StructureHTA Score
Who We Serve

Audience

Who We Serve

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Institutional Investors

Pension funds and asset managers integrating health into ESG.

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Payers & HTA Bodies

National health services benchmarking company standards.

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Policymakers

Developing disclosure requirements and accountability frameworks.

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Patient Advocates

Requiring evidence-based assessments of where investment is directed.