Displaying results 9 - 16 of 24
-
Correlation between Real-Time BioSense Influenza Indicators and Data from the U.S. Influenza Sentinal Physicians Surveillance Network
Content Type: Abstract
Objective The objective of this study was to determine which chief complaints and ICD-9-CM coded diagnoses from real-time BioSense hospital data correlate well with data from conventional influenza surveillance systems. -
Data Quality Improvements in National Syndromic Surveillance Program (NSSP) Data
Content Type: Abstract
The National Syndromic Surveillance Program (NSSP) is a community focused collaboration among federal, state, and local public health agencies and partners for timely exchange of syndromic data. These data, captured in nearly real time, are intended… read more -
New Master Facility Table: Improving the Quality of Facility Data
Content Type: Webinar
The Division of Health Informatics and Surveillance (DHIS) team has been working to clean, standardize, and improve the quality of data on the Master Facility Table (MFT). The MFT provides a unique identifier for each facility along with facility… read more -
Surveillance of West Nile Virus Activity Using Biosense Laboratory Test Order Data
Content Type: Abstract
West Nile Virus (WNV) is a mosquito-borne virus that can cause meningitis and encephalitis. Since its discovery in New York City during an encephalitis outbreak in 1999, WNV has become endemic in North America. In the United States, 16,000 human WNV… read more -
Syndromic Prediction Power: Comparing Covariates and Baselines
Content Type: Abstract
The eleven syndrome classifications for clinical data records monitored by BioSense include rare events such as death or lymphadenitis and also common occurrences such as respiratory infections. BioSense currently uses two statistical methods for… read more -
The BioSense Influenza Module
Content Type: Abstract
BioSense is a national system that receives, analyzes, and visualizes electronic health data and makes it available for public health use. In December 2007 CDC added the Influenza Module to the main BioSense application.… read more -
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 -
NSSP’s Master Facility Table (MFT) Module Overview
Content Type: Webinar
Presented July 25, 2018. The NSSP team is excited to share our progress towards adding the Master Facility Table (MFT) as a module to the BioSense Platform’s Access and Management Center, or AMC. The addition of the MFT module gives you, as a… read more