ESSENCE: Free Text Query Negation

Free text queries are performed by ESSENCE users very often. And increasingly, those free text queries are incorporating negation terms that allow the users to find case definitions when certain terms are not present. This video attempts to explain some of the special cases where negation in free text queries may be confusing for users. The video will mention some features in ESSENCE that you may not be familiar with like the Explain Query button and Advanced Query Tool (AQT).

November 29, 2018

Free-Text Mining to Improve Syndrome Definition Matching Across Emergency Departments

Standard syndrome definitions for ED visits in ESSENCE rely on chief complaints. Visits with more words in the chief complaint field are more likely to match syndrome definitions. While using ESSENCE, we observed geographic differences in chief complaint length, apparently related to differences in electronic health record (EHR) systems, which resulted in disparate syndrome matching across Idaho regions.

January 21, 2018

Unstructured Free-text Data and Meaningful Use

In 2010, as rules for the Centers for Medicaid and Medicare Electronic Heatlh Record (EHR) Incentive Programs (Meaningful Use)(1), were finalized, ISDS became aware of a trend towards new EHR systems capturing or sending emergency department (ED) chief complaint (CC) data as structured variables without including the free-text. This perceived shift in technology was occurring in the absence of consensus-based technical requirements for syndromic surveillance and survey data on the value of free-text CC to public health practice.

May 02, 2019

A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome

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.

July 30, 2018

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