Emergency Department Smart Notifications (EDSN) is an Advance Clinical and Translational Research (Advance-CTR) Big Data Pilot study bridging medicine and informatics. It involves investigators from the Department of Emergency Medicine and Brown Center for Biomedical Informatics (BCBI). The central aim of the project is to develop a predictive analytic model using electronic health record (EHR) data regarding the risk status of emergency department (ED) patients. Initial risk conditions under consideration include: 1) risk of repeat ED visits and 2) risk of opioid overdose; other clinical models are in planning stages.
The EDSN project is funded by the Advance-CTR Big Data Pilot Award (National Institute of General Medical Science Award ID: U54GM115677 as well as the Department of Emergency Medicine.
The EDSN Digital Library includes standard operating procedure (SOP) guidelines, SOP schema, publications, presentations and frameworks. For more information about the types of documents, please see the EDSN Digital Library Documentation.
The DOI for the EDSN Digital Library is 10.7301/Z0K072S4. If any resources in the EDSN Digital Library are used, then please include the DOI for the resource as well as the one for this site and cite any corresponding publications. In compliance with the NIH data sharing policy, the EDSN Digital Library is licensed under a Creative Commons Attribution 4.0 International License and is available for other researchers and the public to access, reuse, and repurpose.
This collection contains the files of publications, including pre-prints and post-prints of manuscripts, and copies of research articles made available with permission of the journal/publisher as well as the files of conference papers, research posters and slide presentations associated with …View