Methods
A retrospective analysis was conducted using ConcertAI’s Prostate Patient360 (curated EHR+claims) dataset. Patients with prostate cancer diagnosis between 2014–2024 were included and classified into urology, oncology, and integrated (urology+oncology) care settings based on the specialty of the clinical EHR data source or sources. Estimated TOC was defined as time point when care shifted from urology to oncology specialty, was derived across all settings using linked claims data as date where >80% of claims within a rolling 6-day window across a patient record originated from oncology. Descriptive statistics for patient demographics, clinicopathologic characteristics at initial diagnosis, TOC, and outcomes were compared across care settings.
Results
he integrated dataset provided insights into patient demographics, baseline characteristics, and care transitions across urology, oncology and integrated care settings.
Conclusions
The study demonstrates prostate cancer care is distributed across multiple specialties resulting in both co-management as well as clear TOC from urology to oncology associated with more advanced stages of cancer. Integrated RWD dataset from multiple specialties provides a novel view of the prostate cancer patient journey than either urology or oncology alone, with a more comprehensive characterization of demographics, tumor/clinical features, treatment patterns, and care transitions supporting meaningful research on disease monitoring and management of prostate cancer patients.