How eSource Technology is Transforming Oncology Clinical Trials

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This article addresses the increasing complexity of data handling in oncology clinical trials. Traditional processes require manual extraction and transcription of data from EHRs into EDC systems, consuming vast amounts of time and resources. It highlights that over 50% of clinical trial data is duplicated between research systems and hospital EHRs. eSource technology offers a transformative solution by automatically linking structured data formats such as FHIR, HL7, SNOMED, and LOINC, eliminating redundant manual entry and improving accuracy. Furthermore, the use of AI to process unstructured data—such as physician notes or imaging reports—is reducing site workload and advancing data standardization. Leading early adopters like Mayo Clinic and MD Anderson Cancer Center have reported significant improvements, including a 50% reduction in site burden. These advanced centers are driving the transition toward a fully digital clinical trial ecosystem, where real-time, interoperable data capture not only boosts efficiency but also supports adaptive trial designs and patient recruitment. The study involves six major global centers (including Mayo Clinic, MD Anderson Cancer Center, Memorial Sloan Kettering Cancer Center, etc.) that exemplify this digital transformation potential.