Displaying results 17 - 23 of 23
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Clostridium Difficile, Surveillance Using Laboratory Data from BioSense Hospitals
Content Type: Abstract
To determine the feasibility of using BioSense laboratory data to do surveillance on Clostridium difficile infection (CDI) and calculate overall and facility rates of disease.… outpatient), admission and discharge dates, and visit denominator data for rate calculations. A patient was … -
The New York State BioSense Sentinel Alert Experience
Content Type: Abstract
In addition to monitoring Emergency Department chief complaint data and pharmacy sales as indicators of outbreaks, the New York State Department of Health (NYSDOH) Syndromic Surveillance System also monitors information from the… read more… mation: patient age, gender, coded patient ID and/or visit ID. Although all 8 alerts were determined to be “false … -
BioSense Real-Time Data Initiative: Improving Emergency Preparedness- Monitoring Injury Sub-Syndromes
Content Type: Abstract
Analysis of the BioSense data facilitates the identification, tracking, and management of emergent and routine health events, including potential bioterrorism events, injury related incidents and rapidly spreading naturally occurring events (1).… read more… ings, sprains & strains). RESULTS A total of 8,342,336 visits were recorded in the ED Chief Complaint category into … system from January 2, 2006 to July 18, 2007. Of all visits; the greatest proportion binned to the Respiratory … the most frequent were injury NOS (6.7% of total visits), open wounds (3.4%), falls (3.1%), and MVC (2.2%). … -
Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Content Type: Abstract
BioSense currently receives demographic and chief complaint data from more than 360 hospitals and text radiology reports from 36 hospitals. Detection of pneumonia is an important as several Category A bioterrorism diseases as well as avian influenza… read more… reports of chest X-rays performed for 42,510 hospital visits (which corresponds to 34,883 patients) and the … -
The Predictive Accuracy of Non-Regression Data Analysis Methods
Content Type: Abstract
Analysis of time series data requires accurate calculation of a predicted value. Non-regression methods such as the Early Aberration Reporting System CuSum are computationally simple, but most do not adjust for day of week… read more… for cluster detection, adjustment for total number of visits, and assessment using other data sources and events. … -
ICD-9 CM Based Sub-Syndrome Distributions in BioSense Hospital Data
Content Type: Abstract
Objective To examine sub-syndrome distributions among BioSense emergency department (ED) chief complaint and final diagnosis based data and to observe patterns by hospital system, age, and gender.… frequent ICD-9 CM based sub- syndromes. The proportion of visits contributing to the 20 most common ED chief complaint … -
Criteria for Prioritizing Statisitical Anomalies Identified in BioSense
Content Type: Abstract
Objective To describe a standard set of criteria for identifying potentially important anomalies and to compare the criteria with several recent public health events. read more… data from more than 370 hospitals and 1100 ambulatory care Departments of Defense (DoD) and Veterans Affairs (VA) …

