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Our Real-World Data Sciences solutions help customers identify fit-for-purpose data to solve problems at each stage of development, including:

Business & Strategy Consulting
  • Corporate strategy consulting
  • Therapy area strategy consulting
  • Product development plan consulting
Genomics / Translational Medicine
  • Precision Medicine
  • Translational medicine
  • Genotype
  • Outcomes / response predictors
  • Computational biology​​​​​​
Study Optimization
  • Population targeting
  • Study design
  • Endpoint selection
  • Unmet need
  • Time – cost – quality modeling
  • Alternative models
Patient & Site Recruitment
and Feasibility
  • Eligibility criteria modeling
  • Feasibility assessment
  • Enrollment and timeline assessment
  • Probability of success assessment
Patient Safety / Pharmacovigilance
  • Pre- and Post- market authorization Case processing of clinician reported adverse event data
  • Regulatory reporting
  • Safety signal detection
  • Evolving to address better sampling of data, workforce efficiency, more robust analysis
Real-World Evidence Generation
  • Standard of care based research
  • Outcomes based studies
  • Label expansion studies
  • Hybrid data models
  • Virtual studies
  • EMR based cohort models
  • Direct with Patient studies
Market Access Planning
  • Health economic modeling
  • Landscape assessment
  • Pricing and market access consulting
  • Product value
  • HTA panels, submissions
  • Product development strategy
May 12, 2020 / Posted by / Real World Evidence