Bridging the Collaboration Gap: Real-time Identification of Clinical Specimens for Biomedical Research.

ABSTRACT:

Introduction

Biomedical and translational research often relies on the evaluation of patients or specimens that meet specific clinical or laboratory criteria. The typical approach used to identify biospecimens is a manual, retrospective process that exists outside the clinical workflow. This often makes biospecimen collection cost prohibitive and prevents the collection of analytes with short stability times. Emerging data architectures offer novel approaches to enhance specimen-identification practices. To this end, we present a new tool that can be deployed in a real-time environment to automate the identification and notification of available biospecimens for biomedical research.

Methods

Real-time clinical and laboratory data from Cloverleaf (Infor, NY, NY) were acquired

SUBMITTER: Durant TJS 

PROVIDER: S-EPMC7245342 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature