Episode 28: Real World Data Analysis in Clinical Trials

In this QCast episode, Jullia and Tom unpack how real world data is analysed to complement clinical trials. They clarify the difference between real world data and real world evidence, explore the main data sources and their trade-offs, and explain how these datasets support trial decisions across feasibility, effectiveness in routine care, and longer-term safety.Key TakeawaysUnderstand the difference between real world data and real world evidence, and why real world analysis is increasingly used to add scale, context, and longer follow-up alongside trials.Recognise the strengths and limitations of common real world data sources, including EHRs, claims, registries, labs, and patient-generated data. Apply practical best practices, including pre-specifying definitions and algorithms and documenting assumptions.🔗 Learn More & Get Support: Visit quanticate.com to explore our biometrics services and discover how we can support your next clinical trial. 📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.🔔 Stay Connected: Subscribe to QCast on Apple Podcasts, Spotify, or your favourite platform to never miss an episode.About QuanticateFounded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:Clinical Data Capture & ManagementBiostatistics & Statistical ConsultancyStatistical Programming & PK/PD AnalysisMedical Writing & PharmacovigilanceRegulatory & Submission SupportAI & AutomationPost-Marketing Safety & Real-World DataQuanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.