The adoption of just-in-time biobanking concept relies on the ability of an investigator to specify electronic phenotypes (e-phenotypes) correctly and ensure that the resulting cohort captures the nuanced clinical characteristics of the desired study population. We have executed an expert-driven simulation study of the Living µBiome Bank, a NIH/NCATS supported system for just-in-time capture of existing microbiology specimens for microbiome research. Our goal is to understand the challenges involved in specification of e-phenotypes and to develop methods to estimate phenotype-specific accrual rates by simulating recruitment of specimens from retrospective RDW data. We will discuss the challenges with e-phenotype specification for just-in-time biobanking, expert assessment of the resulting cohort match to the phenotype, and expert opinion of suitability and usability of the specimens obtain from such a system for translational research.
Learning Objective: Understand challenges with e-phenotyping and just-in-time biobanking for translational research
Bashir Hamidi, Medical University of South Carolina
Leslie Lenert, Medical University of South Carolina
Alexander Alekseyenko (Presenter)
Medical University of South Carolina