Patient-Level Data Analytics

  • Anonymous patient information provided either through:
    • Secondary sources (APLD)
    • Primary research from selected, representative healthcare facilities
  • Prioritize parameters and establish interdependencies
  • Collate and analyse unstructured data to highlight scientific nuances
  • Transform complex transactional APLD into insights for drug utilization, prescribing and cost-of-care trends and health outcomes
  • Use primary research to quantify the burden of a disease/condition and compare the impact of ovarious interventions, and real-world evidence generation
  • Quantifiable patient outcomes to demonstrate product value
  • Use evidence-based recommendations as a powerful tool to shape healthcare policies
  • Determine market niche, product usage dynamics, and untapped marketing opportunities