Waller Anna

COPD is a prevalent chronic disease among older adults; exacerbations often result in ED visits and subsequent hospital admissions. A portion of such patients return to the ED within a few days or weeks. In this study, we investigated patterns of hospital admissions and short-term return visits resulting from COPD-related ED visits.

Objective

To investigate hospital admissions and short-term return visits re- sulting from chronic obstructive pulmonary disease (COPD)-related emergency department (ED) visits. 

A retrospective analysis of emergency department data in NC for drug and opioid overdoses has been explained previously [1]. We built on this initial work to develop new poisoning and surveillance reports to facilitate near real time surveillance by health department and hospital users. In North Carolina, the availability for mortality and hospital discharge data are approximately one and two years after the event date, respectively. NC DETECT data are near real time and over 75% of ED visits receive at least one ICD-9-CM final diagnosis code within two weeks of the initial record receipt.

Objective

Twelve new case definitions were added to the NC DETECT Web Application to facilitate timely surveillance for poisoning and overdose. The process for developing these case definitions and the most recent outputs are described.

NC DETECT receives ICD-9-CM codes for emergency department (ED) visits and uses these codes in case definitions for syndromic surveillance (e.g. infectious disease, injury, etc.). Hospitals will begin using ICD-10-CM codes on October 1, 2015. As a result, preparations have been made to accommodate ICD-10-CM codes in NC DETECT for data transmission, receipt, processing and use in the NC DETECT Web Application.

Objective

To describe lessons learned from the transition to ICD-10-CM.

A local foundation commissioned a project to determine the leading causes of childhood injury in Wake County, NC. Multiple sources of secondary data, including syndromic surveillance data, were used to describe leading causes of childhood injury in the county.

Objective

To utilize secondary data sources to describe childhood injury and prioritize prevention efforts in Wake County, NC.

 

Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in the record to identify a unique visit. If the earliest dates in records with the same patient ID and facility ID occur within the same 24-hour time frame, those two visits are combined into one visit and the earliest date will be stored. The ED data sent by hospitals to NC DETECT include unique visit IDs and these are used to identify unique visits in NC DETECT. These data are also sent twice daily to BioSense. In order to assess the potential differences between the NC DETECT ED data in NC DETECT and the NC DETECT ED data in BioSense, an initial analysis of the 24-hour rule was performed.

Objective

NC DETECT emergency department (ED) data were analyzed to assess the impact of applying the BioSense “24-hour rule” that combines ED visits into a single visit if the patient ID and facility ID are the same and the earliest recorded dates occur within the same 24-hour time frame.

The advent of Meaningful Use (MU) has allowed for the expansion of data collected at the hospital level and received by public health for syndromic surveillance. The triage note, a free text expansion on the chief complaint, is one of the many variables that are becoming commonplace in syndromic surveillance data feeds. Triage notes are readily available in many ED information systems, including, but not limited to, Allscripts, Cerner, EPIC, HMS, MedHost, Meditech, and T-System. North Carolina’s syndromic surveillance system, NC DETECT, currently collects triage notes from 33 out of 122 hospitals in the State (27%), and this number is likely to increase.

Objective

This roundtable will provide a forum for the ISDS community to discuss the use of emergency department (ED) triage notes in syndromic surveillance. It will be an opportunity to discuss both the benefits of having this variable included in syndromic surveillance data feeds, as well as the drawbacks and challenges associated with working with such a detailed data field.

In 2012, an estimated 2.5 million people presented to the ED for a MVC injury in the U.S. National injury surveillance is commonly captured using E-codes. However, use of E-codes alone to capture MVC-related ED visits may result in a different picture of MVC injuries compared to using text searches of triage or chief compliant notes.

Objective

Identify and describe how the case definition used to identify MVC patients can impact results when conducting MVC surveillance using ED data. We compare MVC patients identified using external cause of injury codes (E-codes), text searches of triage notes and chief complaint, or both criteria together.