The team was recently awarded an STTR grant from the National Institutes of Health (NIH) to study the connection between electronic health record interventions and quality measures.

Drs. Leah Carr and Ian Campbell join DBHi as Clinical Informatics Fellows

This article discusses both genetic and non‐genetic mechanisms hypothesized to underlie these differences.

This work aims to identify temporal condition patterns surrounding obesity incidence in a large pediatric population.

This study by the Helbig Lab addressed the rapid implementation of child neurology telehealth outpatient care with the onset of the COVID-19 pandemic in March 2020.

Q & A with Arcus Supervisor of Data Education Joy Payton

Visit https://education.arcus.chop.edu to find a link to the Arcus Education team’s Event Calendar and view upcoming sessions.

CHOP researchers developed computational tool aided by the CHOP Research Institute's Arcus Pediatric Knowledge Network. The article appears in. Pediatric Critical Care Medicine

This paper by Drexel University student Elizabeth Campbell in the Masino Lab introduces a temporal condition pattern mining methodology to address the sparse nature of coded condition concept utilization in electronic health record data

Article by DBHi clinical informatics dual fellow Adam Dziorny, MD, PhD appeared in href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0226493"PLOSOne 12-12-2019