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Study Design & Evidence Generation

Reviews 

Design and conduct:  - Systematic reviews - Meta-analyses  - Network meta-analyses

Design and Conduct

- Systematic reviews
- Meta-analyses 
- Network meta-analyses

Data Synthesis & Analytics 

Synthesize data across multiple sources to inform decision-making for: - Regulatory - Healthcare Authorities  - Commercial -

Synthesize data across multiple sources to inform decision-making for

- Regulatory
- Healthcare Authorities 
- Commercial
- Access to EHR/claims/registries
- Advanced analytics: HEOR, predictive modelling

Expert Panels

Engage expert panels and focus groups to:  - Develop and validate structured opinions

Engage expert panels and focus groups to

- Develop and validate structured opinions.

Strategic Evidence Planning

Transforming evidence into strategy — faster, smarter, and more impactfully.

At Panopticon Analytics, our Strategic Evidence Planning solutions are built to optimize the design, synthesis, and application of real-world and clinical data for regulatory, commercial, and public health decision-making. We support clients across the product lifecycle—from early pipeline development through launch and post-market optimization—by integrating advanced analytics, direct stakeholder engagement, and cutting-edge AI tools.

Design & Conduct of Evidence Generation

We specialize in the design and execution of scientifically rigorous studies to support regulatory submissions, market access, and health policy evaluations:

  • Systematic Reviews: Comprehensive, methodologically robust reviews of literature to assess safety, efficacy, and real-world effectiveness.

  • Meta-Analyses: Quantitative syntheses of multiple studies to derive pooled estimates of treatment effect and inform comparative effectiveness decisions.

  • Network Meta-Analyses: Advanced indirect comparison methods that provide insights when head-to-head clinical trials are lacking—enabling informed choices across therapeutic options.

Our team brings deep methodological expertise to ensure transparency, reproducibility, and alignment with regulatory standards (e.g., PRISMA, GRADE, Cochrane, NICE, and CIOMS guidelines).

Data Synthesis & Advanced Analytics

We synthesize data from diverse sources—retrospective and prospective, clinical and non-clinical, traditional and digital—to generate meaningful evidence that drives smarter decision-making:

  • Regulatory & Health Authority Submissions: Evidence packages tailored for global agencies including FDA, EMA, Health Canada, and local HTA bodies.

  • Commercial and Market Access Strategy: Real-world data to support payer negotiations, value dossiers, and positioning.

  • Claims, EHR, and Registry Data Integration: Structured and unstructured data extracted from multiple care settings to provide a 360° view of patient pathways.

  • Health Economics and Outcomes Research (HEOR): Cost-effectiveness, budget impact models, and patient-reported outcome analyses.

  • Predictive Modelling: AI-enhanced modeling to forecast clinical outcomes, optimize resource use, and reduce uncertainty in planning.

We prioritize full endpoint capture and high-fidelity outputs, integrating innovative technologies to reduce time-to-insight and improve cost-efficiency.

Stakeholder Engagement: Expert Panels & Focus Groups

We facilitate engagement with multidisciplinary stakeholders—clinicians, regulators, patients, and payers—to validate findings and co-create evidence frameworks:

  • Expert Panels: Structured Delphi panels and advisory boards to derive and validate expert consensus, clinical assumptions, and model inputs.

  • Patient and Public Engagement: Incorporating lived experience and community insights through moderated focus groups and direct patient involvement.

These engagements strengthen contextual relevance and promote adoption by decision-makers.

Leveraging AI and Patient-Centric Data Infrastructure

Our approach is distinguished by the integration of proprietary AI-driven platforms and strong, direct relationships with patient communities. This enables:

  • Efficient, Longitudinal Evidence Collection: Retrospective and prospective data capture across all sites of care—acute, outpatient, community, and home-based.

  • Superior Patient Retention: Year-over-year follow-up facilitated by digital engagement strategies and trust-based partnerships.

  • Faster, More Cost-Effective Insights: Leveraging machine learning and NLP for real-time signal detection, cohort identification, and evidence triangulation.

Panopticon’s Strategic Evidence Planning is not just about data; it’s about turning evidence into foresight, strategy, and impact. Whether you are preparing for regulatory approval, demonstrating real-world value, or optimizing access, we deliver tailored, technology-enabled solutions that meet today’s complex evidence needs.

 

Contact us to learn how our strategic evidence planning solutions can accelerate your success.

Our Team has over two decades  of track record of handling national data in Europe and North America 

 Your Strategic Partner in Evidence Generation and Development 

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