See exactly how your medical engagement closes care gaps.

The Impact Modelling Platform connects strategic imperatives, HCP perspectives, prescribing behaviours, biomarker testing patterns, and claims data into one defensible contribution model. Stop guessing whether your medical activity is working. Show it.

Built for Dato-DXd, T-DXd, and other complex oncology launches.

Perspective

Behaviour

Care gap

Patient pathway visualisation

What this platform actually does for you

Medical Affairs has always struggled to prove its commercial contribution. The Impact Modelling Platform turns engagement activity into a structured, auditable chain of evidence from conversation to claim.

Map the care pathway

Visualise every step of the patient journey, where each care gap occurs, and which strategic imperative it links to. No more abstract slides.

Quantify the contribution

Score HCP movement on the Mayne contribution ladder. Compare engaged versus universe deltas to show what your engagement is actually shifting.

Connect to outcomes

Tie behaviour change to biomarker testing rates, time-to-next-treatment, line-of-therapy attrition, and downstream claims volume.

Simulate before you spend

Use the what-if levers to project how lifts in testing, share, or retention translate into incremental claims and revenue.

Defend with evidence

Built on the Mayne contribution framework. Auditable causal chains rather than black-box correlations or unjustified attribution claims.

Spot the gaps others miss

Biomarker concordance, geographic disparities, and HCP/account-level heatmaps surface where the real opportunity sits.

How the model works

Four connected layers turn engagement into a measurable contribution claim.

Strategic imperatives

Define the themes, dimensions, and care gaps your medical strategy is built to close.

Causal chain

Perspectives shift, behaviours change, care gaps narrow. Each link is measured separately.

Engagement delta

Compare HCPs engaged via NBA against the broader universe to isolate what engagement is contributing.

Outcomes layer

Map shifts to claims, biomarker testing, line attrition, and time-to-next-treatment curves.

Outcomes you can actually defend

The platform is built to satisfy the questions your CFO, your launch lead, and your compliance team will ask, in the same view.

Patient flow Sankey from diagnosis through 3L, scaled to claims data
Biomarker x outcomes heatmap by therapy choice
Geographic gap map for testing rate and time-to-2L
Kaplan-Meier style time-to-next-treatment cohort curves
What-if simulator projecting engagement lifts to incremental claims and revenue
Strategic imperative to KPI dependency network
HCP and account-level engagement heatmap
Biomarker testing concordance sunburst showing pos-untested and neg-treated gaps

Built on the Mayne contribution framework.

Contribution analysis, not attribution. The model identifies plausible mechanisms, tracks the causal chain, and quantifies movement, without overclaiming counterfactual causality. Defensible by design.