Feasibility assessment of an EHR-integrated research platform for prospective data collection in community oncology practice

Post-approval observational studies that rely on traditional data collection approaches may be burdensome for community oncology settings with limited research infrastructure. We conducted a prospective observational study using an EHR-integrated platform to evaluate its feasibility for streamlining data collection in community oncology. We were able to capture high-quality data on infusion-related reactions in patients with multiple myeloma receiving daratumumab. The EHR-integrated platform included centralized patient identification, automated EHR-to-electronic data capture system data transfer, and centralized abstraction services. Over 11 months, 82 patients enrolled at four US community oncology sites, with 30.5% identifying as Black or Hispanic. Across 4568 essential data points: missingness accounted for 0.59%, 91% of data points were eligible for automated transfer, median transfer time for structured data was 1.7 days, and query frequency was