D-Cubed Series: Article 2 – The Competitive Divide of Real-World Data in Healthcare

Peter Keeling
Founder
Precision Medicine Commercialization

The shift toward D-Cubed Pharma is recent, emerging only in the past 1–3 years. The competitive map looks very different from traditional measures of success. Infrastructure alone no longer defines leadership. What matters now is recency of action, boldness of experimentation, and willingness to ditch legacy playbooks. What is needed is real-world data in healthcare to drive activation at the right time.

We ranked pharma not by pipeline size or sales force reach, but by visible evidence of recent D-Cubed adoption. However, every pharma company today has the capability of accelerating investment in D-Cubed dynamics.

 

D-Cubed Adoption Spectrum

Tier 1 — D-Cubed Architects: AstraZeneca, Roche, AbbVie

Tier 2 — D-Cubed Capable: Pfizer, Merck, Lilly, J&J

Tier 3 — Selective Adopters: scattered pilots, lacking orchestration: BMS, Sanofi, GSK

 

Cynic’s Corner (Part 2)

Is D-Cubed just a macro hypothesis? No. The building blocks are visible today:

  • Reflex testing pathways funded at scale
  • Funnels that are built by real-world data in healthcare, tracking tested to treated
  • Digital triggers embedded in networks
  • Navigation apps and lab-finders launched alongside drugs

D-Cubed is not theory. It is an emerging operating model, observable today.

 

D-Cubed Proof in Practice: Physician Engage

The evolving D-Cubed model is already reshaping how leading organizations execute in complex therapy areas. Diagnosis of Myeloid Malignancies is fragmented and time-sensitive. Data is often dispersed. One global pharma company advanced its engagement model by integrating diagnostics-triggered insights with real-world data in healthcare and precision digital activation.

Rather than adding more of the same tactics, the team rebalanced its launch mix to activate physicians at the true point of decision. Using multimodal real-world data in healthcare, such as daily lab alerts, Physician Engage identified treating HCPs at diagnosis. It delivered tailored, relevant content through trusted digital channels within 24 hours.

 

In six months, the initiative identified 2,398 patients. It was able to engage 384 physicians and achieved a 7x return on investment. And all this while enabling faster, more equitable treatment access.*

This is the competitive divide we are describing here: organizations that operationalize D-Cubed behaviors. Diagnostics triggers, data-led targeting, and digital activation allow the ability to compound capability.

They build a scalable, repeatable model. One that accelerates therapy adoption and raises the bar for what effective launch execution looks like.

*Source: Diaceutics’ client projects

This article builds on the concepts introduced in the first article of this series: D-Cubed Pharma: The $20B ROI Advantage.

ABOUT DIACEUTICS

We’ve been with pharma and biotech companies for over 20 years, helping them to make more informed diagnostic and therapeutic decisions based on real-world data. Our platforms and tools provide global insight from a network of laboratories across 50+ countries.

This unparalleled visibility into real-world testing helps support therapy programs across oncology, cardiology, neurology, autoimmune, rare diseases, and many more.

What is the D-Cubed Model?
 
D-Cubed is Diaceutics' framework for maximising pharma ROI by systematically combining three forces: diagnostics, data, and digital. Instead of selling drugs through legacy tactics alone, D-Cubed activates them with tests, amplifies them with real-world data, and accelerates them to the right patients through precision digital engagement.
How does D-Cubed improve pharma ROI?
 
It flips the economics of a launch. Biomarker-driven approaches lower cost per approval (≈$3.5B vs $4.6B legacy), roughly triple the probability of clinical success (~26% vs ~8%), and lift conversion-to-treatment from 55% to 75%. Scaled across a portfolio, this delivers a ~$20B advantage per decade for large pharma.
Is the evidence behind D-Cubed proven?
 
Yes. The model is underpinned by over 100 peer-reviewed papers and industry articles, plus real-world adoption studies showing that embedding diagnostics expands therapy uptake and strengthens payer value. The debate has moved on from "does precision pay off" to "how do we operationalise it portfolio-wide."
What does D-Cubed look like in practice?

Four building blocks are visible today:

  • Reflex testing pathways funded at scale
  • Funnels built on real-world data that track patients from tested to treated
  • Digital triggers embedded in networks
  • Navigation apps and lab-finders launched alongside drugs
What results can a D-Cubed approach deliver for a drug launch?
In myeloid malignancies, one global pharma company combined diagnostics-triggered insights, real-world data and precision digital activation. In six months it identified 2,398 patients, engaged 384 physicians and achieved a 7x return on investment. It also enabled faster, more equitable treatment access. (Source: Diaceutics' client projects)
How can pharma use real-world data to reach physicians at the point of diagnosis?
Multimodal real-world data, such as daily lab alerts, can identify treating HCPs at the moment of diagnosis. Physician Engage then delivers tailored, relevant content through trusted digital channels within 24 hours. This lets teams activate physicians at the true point of decision rather than adding more of the same tactics.
Written By Peter Keeling
Peter Keeling founded Diaceutics in 2005 and has grown it into a global leader in precision medicine commercialization, supporting many of the world's most important biomarker and diagnostic strategies. With more than 33 years of experience as a pharma executive, entrepreneur and strategist, he has been at the forefront of transforming how precision medicine is brought to market, pioneering innovative commercial models across therapeutics, diagnostics and FMCG. A recognised thought leader and published author, Peter is a sought-after speaker on the future of precision medicine and healthcare innovation. He holds degrees from Queen's University Belfast and Buckingham University and was a Visiting Fellow at MIT's Sloan School of Management.
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