Session (CTI)

Real-world data are fragmented across the patient journey, creating challenges related to real-world evidence (RWE) generation. The complexity of patient care pathways, often involving multiple providers, settings, and concurrent treatments creates methodological and data integration challenges that were not fully addressed when traditional claims and electronic medical record (EMR) data research infrastructures were developed. Further, RWE is strongest when it comes directly from the patient or their care team, and it becomes weaker or more complicated when it comes from intermediaries who are farther away from clinical interaction.
Integrating datasets directly from systems that touch the patient at varying degrees and lack interoperability, solving for large volumes of unstructured data, matching claims to clinically documented activities and using analytical approaches, including AI-supported methods and expert curation to overcome missing and redundant data elements are critical for strengthening the quality and interpretability of RWE studies.
In this panel discussion, speakers will examine approaches to addressing these challenges and discuss considerations for generating real-world evidence that may be suitable for regulatory and healthcare decision-making contexts.
Sponsored by Corporate Partner, Cardinal Health