Comparative effectiveness research
By analysing real world data, researchers can identify and evaluate potential adverse events or safety signals associated with specific treatments.
Study Design and Population Selection
Select study populations that accurately reflect real world patient characteristics and treatment patterns
Treatment Comparisons
Compare the effectiveness of various treatments- such as different medications - or treatment protocols to determine their relative benefits, risks, and outcomes.
Long-term Follow-up
Review insights into the long-term outcomes following different treatments. By analysing data over an extended period, our team can assess the durability of treatment effects and identify any potential safety concerns that may arise over time.
Subgroup Analysis
Benefit from subgroup analyses to explore treatment effects in specific patient populations. By leveraging a large and diverse dataset, researchers can examine how different treatments perform across various demographic, clinical, and socioeconomic subgroups.
Real-World Outcomes
Utilise real world clinical outcomes, patient-reported outcomes, and resource utilisation which are essential for assessing the overall effectiveness and value of healthcare interventions. These data allow our Research Consultancy Team to evaluate factors such as signs and symptoms, hospital admission rates, healthcare resource utilisation.
Safety Monitoring
By analysing real world data, researchers can identify and evaluate potential adverse events or safety signals associated with specific treatments.