SAN FRANCISCO, Aug. 13, 2024 /PRNewswire/ -- Three out of five clinical data abstractors are neutral to very dissatisfied in their positions, with nearly as many attributing too many time-consuming, ...

SAN FRANCISCO, Feb. 11, 2025 /PRNewswire/ -- The vast majority of clinical data abstractors believe AI would save them time, effort and cost, but concerns about data quality without human oversight ...

Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians. The resulting data were used to build a cohort of ...