CAPABILITIES

The full evidence lifecycle, under one roof

We help organizations make sense of complex healthcare data — solving problems, asking hard questions, and building strategies grounded in science, real-world evidence, and experience.

  • Study design through data delivery — prospective and retrospective observational studies built on real-world data.

    • Observational studies

    • Epidemiology and disease burden

    • Study design and protocols

    • Claims, EHR, and registry analysis

  • Systematic and targeted literature reviews, meta-analysis, and evidence gap analysis to HTA-grade standards.

    • Meta-analysis and NMA‍

    • Evidence gap analysis

    • Systematic literature reviews

    • Targeted literature reviews

  • Decision-analytic models that translate clinical evidence into economic value for payers, providers, and health systems.

    • Decision-analytic and health economic models

    • Burden of illness studies

    • Cost calculators & total cost of care

    • Budget impact analysis (BIA)

    • Cost-effectiveness analysis (CEA)‍

  • Real-world insights from claims, EHR, and registry data — powered by rigorous statistics and machine learning.‍

    • Patient journey and treatment pattern analyses‍

    • Data visualization

    • Predictive analytics and machine learning‍

    • Comparative effectiveness and safety studies

    • Statistical analysis plans (SAPs)

  • Evidence packages and strategy that get therapies through health technology assessment and into patients' hands.

    • Pricing and market access strategy

    • Value dossiers and reimbursement strategy

    • Payer evidence generation and engagement

    • HTA submissions and JCA support

  • Turning research into publications and scientific narratives that reach the audiences who need them.

    • Scientific writing and medical communications

    • Publication strategy and planning‍

    • Manuscripts, abstracts, and posters

    • Evidence dissemination

  • Forward-looking analysis to guide portfolio, pricing, and commercialization decisions.

    • Competitive intelligence

    • Forecasting and scenario modeling

    • Pricing and market landscape analysis

    • Portfolio and commercialization strategy

  • AI-assisted workflows that accelerate evidence generation — with human-in-the-loop scientific validation at every step.

    • Human-in-the-loop scientific validation

    • AI-assisted evidence generation workflows

    • AI-enabled economic modeling

    • Custom AI solutions for healthcare research

End-to-end product lifecycle support

Continuous evidence and decision support, tailored to each stage.

1. Discovery

Evidence landscape, epidemiology, burden of illness

2. Clinical development

Trial design support, SLR, evidence strategy

3. Launch

HTA dossiers, economic models, payer submissions

4. Market access

Reimbursement strategy, JCA support, pricing

5. Post-launch

RWE studies, comparative effectiveness, registries

6. Optimization

Budget impact updates, competitive intelligence