Bring evidence together
Combine clinical studies, epidemiology, registry data, guidelines, costs, utilities, resource use, and local assumptions.
Software
Interactive applications for the value of medical innovation.
The Medip Analytics platform hosts custom applications for specific disease areas and care pathways. Users adjust inputs and assumptions in the application, then run the underlying model to calculate outcomes, costs, and broader value.
Care pathway application
Represent a specific disease area, patient population, and diagnostic or treatment pathway.
Adjustable assumptions
Change evidence inputs, local costs, uptake, comparators, and implementation settings.
Decision-ready outputs
Run the model inside the application and translate results into views for value, access, and implementation.
Platform overview
The platform turns evidence into pathway-specific applications.
Each application combines evidence, assumptions, pathway logic, and model calculations in an interactive environment that teams can inspect, adapt, and share.
Build disease-specific applications
Create applications for disease areas and pathways such as prostate cancer diagnostics or lung cancer screening.
Compare adoption scenarios
Test different populations, uptake rates, prices, comparators, care settings, and implementation conditions.
Communicate the evidence
Present clear outputs with assumptions, references, and calculation choices visible behind the result.
Model anatomy
What sits inside a Medip application.
Each application connects evidence sources, pathway logic, user-adjustable assumptions, model calculations, and decision outputs.
Evidence
Inputs
Pathway
Logic
Methods
Analysis
Decisions
Outputs
Change an assumption. Run the model. See the consequence across outputs.
Inputs
Clinical, epidemiological, and economic evidence
Prevalence, incidence, test accuracy, treatment effects, utilities, resource use, costs, and local care data.
Logic
Disease-specific application logic
Patient flow, comparators, diagnostic sequences, treatment decisions, follow-up, complications, and downstream events for a defined pathway.
Analysis
Model run and analysis
Cost-effectiveness, budget impact, ROI, scenario analysis, sensitivity analysis, threshold analysis, and broader impact views calculated from the selected inputs.
Outputs
Stakeholder-ready decision views
Results for HEOR, market access, medical affairs, clinicians, payers, hospitals, leadership, and dossier teams.
Software perspectives
Methodology and impact stay connected.
Explore the scientific logic behind each application and how its outputs inform teams, documents, and stakeholder conversations.
Join the discussion
Discuss how the platform fits your evidence approach
We can walk through the application structure, model logic, and outputs that fit your product, evidence plan, and stakeholder discussions.
