Syndromes

Patients’ chief complaints (CCs) as a common data source, has been widely used in syndromic surveillance due to its timeliness, accuracy and availability. For automated syndromic surveillance, CCs always classified into predefined syndromic categories to facilitate subsequent data aggregation and analysis. However, in rural China, most outpatient doctors recorded the information of patients (e.g. CCs) into clinic logs manually rather than computers. Thus, more convenient surveillance method is needed in the syndromic surveillance project (ISSC). And the first and important thing is to select the targeted symptoms/syndromes.

Objective

To select the potential targeted symptoms/syndromes as early warning indicators for epidemics or outbreaks detection in rural China

Submitted by ynwang@ufl.edu on Fri, 05/25/2018 - 19:34

The homelessness syndrome was developed to identify emergency department visits in ESSENCE for patients who are experiencing homelessness or housing insecurity. The syndrome is intended for use with chief complaint, triage notes, and discharge diagnosis codes (ICD-10 CM). The definition heavily relies on diagnosis codes primarily used by non-critical access hospitals and artificial exclusion of critical access facilities should be considered when data are interpreted.

Submitted by Anonymous on Wed, 02/28/2018 - 18:24

EDCC data provides an opportunity for capturing the early mental health impact of disaster events at the community level, and to track their impact over time. However, while rapid mental health assessment can facilitate a better understanding of the acute post-disaster period and aid early identification of persons at long-term risk,1 determining how wide a net to effectively capture the critical range of mental health sub-categories has not yet been clearly defined. This project creates a comprehensive set of mental health sub-category keywords, and applies them to evaluate short- and long-term trends in postHurricane Sandy mental health outcomes in New York State.

Objective

To define mental health keywords using daily hospital emergency department chief complaint (EDCC) data during and after Hurricane Sandy 2) To track short- and long-term trends in mental health EDCCs. 3) To compare mental health EDCCs in affected counties to the rest of the New York State population.

Submitted by uysz on Wed, 12/20/2017 - 09:40

Timely access to Emergency Department (ED) Chief Complaint (CC) data, before the definitive diagnosis is established, allows for early outbreak detection and prompt response by public health officials.BioSense 2.0 is a cloud-based application that securely collects, tracks, and shares ED data from participating hospitals around the country. Denver Health (DH) is one of several Colorado hospitals contributing ED Chief Complaint data to BioSense 2.0. In August 2013, ED clinicians reported an increase in patients presenting with excited delirium, possibly related to synthetic marijuana (SM). We used this event to test the use of CC field of ED data for detection of a novel public health event (i.e., serious adverse events related to synthetic marijuana use) not currently categorized in the BioSense syndromic surveillance library.

Objective

The aims of this presentation is to use ED chief complaint data, to test BioSense 2.0 for detection of a novel public health event (i.e., serious adverse events related to synthetic marijuana use) not currently categorized in the BioSense syndromic surveillance library.

Submitted by uysz on Wed, 12/20/2017 - 09:29

Problem Summary

Submitted by ctong on Mon, 10/30/2017 - 08:52

This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.

Objective

To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.

Submitted by uysz on Sun, 10/29/2017 - 20:54

This syndrome was developed for enhanced surveillance during the 2017 Lost Lake Music Festival in Phoenix, Arizona. The syndrome queries chief complaint terms related to the event, venue and performing artists.

Submitted by rkumar on Thu, 10/26/2017 - 19:24

This syndrome was developed for enhanced surveillance during a 2017 U.S. President rally in Phoenix, Arizona. Terms were included based on events at previous rallies in other cities. The query was created using chief complaint field in NSSP ESSENCE.

Submitted by rkumar on Thu, 10/26/2017 - 19:15

This syndrome was developed for enhanced surveillance during the National Collegiate Athletic Association Final Four games and related events in Maricopa County in 2017. In addition to the Final four games, Maricopa County hosted several related events including a multi day music festival and Fan Fest. The query was developed in NSSP ESSENCE using chief complaint terms for the events, venues, participating teams, and performing artists

Submitted by rkumar on Thu, 10/26/2017 - 19:08

This syndrome was created as a part of the Arboviral Syndromic Surveillance Project in Arizona, which includes bi-weekly monitoring of syndromic data to enhance traditional arboviral surveillance. The syndrome was developed using BioSense 2.0 phpMyAdmin and later transitioned to ESSENCE. The syndrome queries chief complaint and discharge diagnosis code

Submitted by rkumar on Thu, 10/26/2017 - 18:52

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