IRB Process Improvements: A Machine Learning Analysis.

ABSTRACT:

Objective

Clinical research involving humans is critically important, but it is a lengthy and expensive process. Most studies require institutional review board (IRB) approval. Our objective is to identify predictors of delays or accelerations in the IRB review process and apply this knowledge to inform process change in an effort to improve IRB efficiency, transparency, consistency and communication.

Methods

We analyzed timelines of protocol submissions to determine protocol or IRB characteristics associated with different processing times. Our evaluation included single variable analysis to identify significant predictors of IRB processing time and machine learning methods to predict processing times through the IRB review system. Based on initial identified predictors, ch

SUBMITTER: Shoenbill K 

PROVIDER: S-EPMC5647673 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature