Displaying results 1 - 8 of 16
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Going Beyond Chief Complaints to Identify Opioid-Related Emergency Department Visits
Content Type: Abstract
Overdoses of heroin and prescription opioids are a growing cause of mortality in the United States. Deaths from opioids have contributed to a rise in the overall mortality rate of middle-aged white males during an era when other demographics are… read more -
Evaluation of Heat-related Illness Surveillance Based on Chief Complaint Data from New Jersey Hospital Emergency Rooms
Content Type: Abstract
The NJ syndromic surveillance system, EpiCenter, developed an algorithm to quantify HRI visits using chief complaint data. While heat advisories are released by the National Weather Service, an effective HRI algorithm could provide real-time health… read more -
Paralysis Analysis: Investigating Paralysis Visit Anomalies in New Jersey
Content Type: Abstract
On July 11, 2012, New Jersey Department of Health (DOH) Communicable Disease Service (CDS) surveillance staff received email notification of a statewide anomaly in EpiCenter for Paralysis. Two additional anomalies followed within three hours. Since… read more -
Assessing Prior Pain Visits and Medical History Risk Factors for Opioid Overdose
Content Type: Abstract
Opioid overdoses are a growing cause of mortality in the United States. Medical prescriptions for opioids are a risk factor for overdose. This observation raises concerns that patients may seek multiple opioid prescriptions, possibly increasing… read more -
Nonparametric Models for Identifying Gaps in Message Feeds
Content Type: Abstract
Timely and accurate syndromic surveillance depends on continuous data feeds from healthcare facilities. Typical outlier detection methodologies in syndromic surveillance compare predictions of counts for an interval to observed event counts, either… read more -
Automating Antimicrobial Usage Reporting
Content Type: Abstract
Antimicrobial stewardship is crucial to the ongoing viability of existing therapies. To facilitate this stewardship, NHSN allows hospitals to submit data on their antimicrobial usage and receive feedback on how their usage compares to other… read more -
Enhancing EpiCenter Data Quality Analytics with R
Content Type: Abstract
The EpiCenter syndromic surveillance platform currently uses Java libraries for time series analysis. Expanding the data quality capabilities of EpiCenter requires new analysis methods. While the Java ecosystem has a number of resources for general… read more -
Enhancing Syndromic Surveillance with Procedure Data: A 2017-8 Influenza Case Study
Content Type: Abstract
Syndromic surveillance achieves timeliness by collecting prediagnostic data, such as emergency department chief complaints, from the start of healthcare interactions. The tradeoff is less precision than from diagnosis data, which takes longer to… read more