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Real-World Evidence

Adeptly navigating through the complexities of RWE analysis.

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Life sciences companies strive to make real-world evidence (RWE) a routine part of their decision-making process, but face challenges optimizing their use of real-world data (RWD).

Trinity EvidenceFirst™

Trinity’s EvidenceFirst offerings deliver meaningful RWE solutions by providing an experienced partner to work alongside life sciences leaders, with the context to flexibly implement built-for-purpose insights – and to draw on the appropriate data assets, from each company’s existing array of data resources to Trinity’s unique in-house data portfolio.

The EvidenceFirst Suite of Offerings

EvidenceFirst powers and integrates with Trinity’s full portfolio of solutions and services across the range of commercialization business needs.

  • Advanced Analytics: Tailoring Analytics to Our Clients’ Needs

    EvidenceFirst offerings can incorporate advanced analytics—including artificial intelligence/machine learning (AI/ML)—to align with each client’s unique business goals and data availability.

    Trinity’s specialized skillsets, proven methodologies and industry expertise delivers a depth and breadth of analytics to support nuanced studies, including:

    • Patient Finding Excellence—Target the physicians seeing your target patients for conditions that are underdiagnosed, overdiagnosed, or challenging to identify
    • Predicting Disease—Educate physicians to enable earlier diagnosis and intervention using risk factors and red flags
    • Patient/Treatment Flow—Empower increased adherence by predicting premature treatment discontinuation and by proactively intervening
  • How are clients leveraging EvidenceFirst?
    • New Product Planning and Business Development: Provide insights into the market size and quantify key patterns within the patient population to identify who the patients are, who treats them, and how they are treated
    • Market Research and Brand Teams: Provide the understanding of the patient flow and quantify key patterns within the patient population to identify who the patients are, who treats them, and how they are being treated
    • Forecasting: Provide robust data to support model assumptions (e.g., market size, treatment rates, market share, days on therapy, etc.)
    • HEOR: Provide epidemiology and health care research utilization (HCRU) insights that support evidence-generation plans

Meet Our Real-World Evidence Experts

If you have any questions, we’re here to answer them.
We look forward to helping identify solutions for you.