What is the difference between Real-World Data and Real World Evidence?

Real-World Data refers to information collected outside traditional clinical trials, such as data from registries, routine healthcare records or observational studies. Real World Evidence is the clinical insight generated by analysing that data in a structured and methodologically appropriate way.

Can Real World Evidence replace clinical trials?

No. Clinical trials remain the accepted standard for demonstrating safety and efficacy in most development settings. Real World Evidence is generally used to complement trial data by adding context around routine care, longer-term outcomes or broader patient experience.

What types of studies can generate Real World Evidence?

Real World Evidence can be generated through a range of non-interventional approaches, including observational studies, patient registries and other forms of routine care data analysis, depending on the research question and the suitability of the data source.

Why does study design matter in Real World Evidence?

The quality of Real World Evidence depends heavily on how the study is designed and whether the data source is appropriate to the question being asked. Without careful planning and methodological discipline, the resulting evidence may be difficult to interpret reliably.

Does PHARMExcel position Real World Evidence as a replacement for controlled studies?

No. PHARMExcel treats Real World Evidence as a complementary source of insight that can sit alongside conventional clinical research where appropriate, not as a substitute for controlled clinical trials.

Why would a sponsor work with PHARMExcel on evidence-focused research?

Sponsors choose PHARMExcel for a more practical, clinically grounded and proportionate approach to research support. As a smaller, specialist CRO, PHARMExcel offers continuity, responsiveness and a clear focus on evidence generation that is realistic, useful and aligned with the wider clinical programme.