Real-World Evidence

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