Real World Data

 Real world data refers to data that is collected from sources outside of controlled experimental environments, such as data from electronic health records, claims databases, social media, mobile devices, or other sources of digital information. This data is often complex, unstructured, and diverse, and may include information on patient demographics, medical history, treatments, outcomes, and other factors that can help researchers understand real-world outcomes of interventions or evaluate the effectiveness of healthcare policies. Real world data is increasingly being used in healthcare research and decision-making, as it provides insights into how treatments and policies work in the real world, as opposed to only in clinical trials or other controlled settings. However, there are challenges associated with the use of real world data, such as data quality, completeness, bias, and privacy concerns, which need to be addressed to ensure that the data is reliable and can be used to make informed decisions.