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Syndrome Definition

Description

To compare age-group-specific correlation of influenza-like syndrome (ILS) emergency department (ED) visits with influenza laboratory data in Boston and NYC using locally defined ILS definitions.

Submitted by elamb on
Description

To compare locally-developed influenza-like syndrome definitions (derived from emergency department (ED) chief complaints) when applied to data from two ISDS DiSTRIBuTE Project participants: Boston and New York City (NYC) [1].

Submitted by elamb on
Description

Automated syndromic surveillance systems often classify patients into syndromic categories based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identifying syndromic cases. Emergency Department (ED) reports promise more detailed clinical information that may increase sensitivity of detection. Objective: Compare classification of patients based on chief complaints against classification from clinical data described in ED reports for identifying patients with an acute lower respiratory syndrome.

Submitted by elamb on

This is a cluster of syndromes created to populate an extreme weather myESSENCE tab. The intent was to increase repeatability of our weather surveillance and have something where a user can use the "Change Region" option to select whatever county, or counties, experienced storm activity. This is still a major work-in progress.

All of this as done in NSSP ESSENCE on Emergency Room data. Fields are specified by each syndrome definition.

Submitted by ZSteinKS on

This syndrome was created to query NSSP ESSENCE on CO Poisoning and Exposure

Kansas just made CO Poisoning a mandatory reportable disease, but this was done so rapidly that hospital didn't have the chance to get reporting measures/alerts in place so many of our CO Poisonings went unreported. This set of queries was created to find these cases through EDs and then educate/remind hospitals of the legislation changes.

Submitted by ZSteinKS on
Description

Using the chief complaint field from our established syndromic ED system, we developed definitions for potentially preventable oral health visits (OHV) and examined patterns in 2009-2011 data. Under the widest definition, OHV comprised about 1% of ED visits. Adults ages 18 to 29 had markedly higher OHV than other ages, as did certain neighborhoods/EDs. We found more than half of OHV occurred during daytime hours, suggesting opportunities for targeted outreach and education. With some caveats, syndromic ED data provide a useful complement to other oral health surveillance strategies.

Objective

To utilize an established syndromic reporting system for surveil- lance of potentially preventable emergency department (ED) oral health visits (OHV) in New York City (NYC).

Submitted by dbedford on
Description

NYC EDs saw nearly 4 million visits in 2011. Studies have demon- strated that non-urgent visits can account for more than 50% of vis- its to EDs. Designed to provide rapid diagnosis and first-line treatment of serious illness, EDs often function as a primary care site due to their accessibility. Unfortunately, use of EDs for primary care may affect their ability to meet the needs of severely ill patients.

 

Objective

To develop a syndrome classification based on patient chief com- plaint to (1) estimate the proportion of primary care-related emer- gency department (ED) visits in New York City (NYC) hospitals and (2) explore predictors of such visits.

Submitted by ccurator on

This is a preliminary Chronic Pain-Related Syndrome, created to search relevant ICD10 and a few key terms in emergency department visits in ESSENCE. The codes and terms are specific to non-cancer related chronic pain with exclusions of cases receiving cancer-related ICD10.

ICD10 codes were selected by translating the following ICD9 codes for Chronic Pain contained in this PDF (https://www.cdc.gov/drugoverdose/pdf/pdo_guide_to_icd-9-cm_and_icd-10_c…)

Submitted by ZSteinKS on

The attached query was developed to track medication refill encounters in emergency departments in ESSENCE during evacuations or extended mass gathering events. The query was initially developed for use with the chief complaint, triage note, and discharge diagnosis code (ICD-10 CM). 

 

Submitted by Anonymous on
Description

Comprehensive medical syndrome definitions are critical for outbreak investigation, disease trend monitoring, and public health surveillance. However, because current definitions are based on keyword string-matching, they may miss important distributional information in free text and medical codes that could be used to build a more general classifier. Here, we explore the idea that individual ICD codes can be categorized by examining their contextual relationships across all other ICD codes. We extend previous work in representation learning with medical data by generating dense vector embeddings of these ICD codes found in emergency department (ED) visit records. The resulting representations capture information about disease co-occurrence that would typically require SME involvement and support the development of more robust syndrome definitions.

Objective:

To better define and automate biosurveillance syndrome categorization using modern unsupervised vector embedding techniques.

Submitted by elamb on