Ontology highlight
ABSTRACT:
SUBMITTER: Simon LE
PROVIDER: S-EPMC6798557 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Simon Laura E LE Rauchwerger Adina S AS Chettipally Uli K UK Babakhanian Leon L Vinson David R DR Warton E Margaret EM Reed Mary E ME Kharbanda Anupam B AB Kharbanda Elyse O EO Ballard Dustin W DW
Journal of the American Medical Informatics Association : JAMIA 20191101 11
Prospective enrollment of research subjects in the fast-paced emergency department (ED) is challenging. We sought to develop a software application to increase real-time clinical trial enrollment during an ED visit. The Prospective Intelligence System for Clinical Emergency Services (PISCES) scans the electronic health record during ED encounters for preselected clinical characteristics of potentially eligible study participants and notifies the treating physician via mobile phone text alerts. P ...[more]