The use of Artificial Intelligence (AI) in the context of Real World Evidence (RWE) is generating excitement because it has the potential to transform the way healthcare is delivered and improve patient outcomes. RWE refers to data collected outside of the traditional clinical trial setting, such as electronic health records, claims data, and patient-generated data. This data provides valuable insights into how drugs and medical devices perform in real-world settings and how they impact patient health.

AI has the ability to rapidly analyze large volumes of complex data from multiple sources and identify patterns and insights that can help healthcare providers make better treatment decisions. For example, AI can help identify patient populations who may benefit most from a particular treatment, or it can help identify adverse events associated with a medication or medical device that may not have been detected in clinical trials.

The use of AI in RWE can also lead to cost savings by identifying more efficient and effective treatment options, reducing the need for trial-and-error treatments, and avoiding unnecessary procedures and tests.

Overall, the excitement surrounding the use of AI in RWE is due to its potential to improve patient outcomes, enhance healthcare delivery, and reduce costs.