Real world data (RWD) refers to any data that is generated outside of a clinical trial setting, such as data collected from electronic health records (EHRs), claims data, and data from wearables and mobile devices. Real world evidence (RWE), on the other hand, is the evidence that is derived from the analysis of RWD, and is used to inform decisions about healthcare interventions.

In other words, RWE is the result of the analysis of RWD in order to generate evidence that can be used to support decision-making in healthcare. RWE is increasingly being used to complement traditional clinical trial data, as it allows for a broader understanding of the effectiveness and safety of treatments in real-world settings, beyond the controlled environment of clinical trials.

For example, RWE can be used to assess the effectiveness of a new drug in a real-world population, by analyzing the outcomes of patients who have received the drug outside of a clinical trial. This can provide valuable insights into the drug’s real-world performance, and help inform clinical practice and regulatory decisions.

Overall, the connection between real-world data and real-world evidence is that RWE is the result of the analysis of RWD, and is used to generate evidence that can be used to inform decisions about healthcare interventions.