Sher Andrew,  Hayatghaibi Shireen,  Kan J.,  Sammer Marla

Final Pr. ID: Paper #: 077

To analyze the effect of point-of-care ACR-clinical decision support (CDS) software embedded in the electronic health records (EHR) on CT ordering patterns in a quaternary care pediatric emergency center (EC). Read More

Authors:  Sher Andrew , Hayatghaibi Shireen , Kan J. , Sammer Marla

Keywords:  decision support, pediatric, informatics

Sher Andrew,  Hayatghaibi Shireen,  Sammer Marla

Final Pr. ID: Paper #: 078

The purpose of this study is to share our experience implementing a clinical decision support (CDS) solution for imaging at a quaternary care pediatric academic hospital. Read More

Authors:  Sher Andrew , Hayatghaibi Shireen , Sammer Marla

Keywords:  decision support, pediatric, informatics

Annapragada Akshaya,  Donaruma-kwoh Marcella,  Annapragada Ananth,  Starosolski Zbigniew

Final Pr. ID: Paper #: 028

Child abuse is the principal cause of traumatic injury and death in children 0-36 months old. Radiologic findings are a critically important piece of evidence necessary for assessment by a Child Protection Team to assess possible abuse. Current algorithmic strategies for the detection of abuse are sensitive, but compromise specificity. The purpose of this study was to determine the performance of deep learning to diagnose child abuse using Natural Language Processing of the unstructured free-text from Electronic Health Records (EHR), including essential information from Radiology Reports. Read More

Authors:  Annapragada Akshaya , Donaruma-kwoh Marcella , Annapragada Ananth , Starosolski Zbigniew

Keywords:  Child Abuse, decision support, Convolutional Neural Network