Displaying results 9 - 16 of 32
-
Analyses of National Syndromic Surveillance Data: Real-Time Hospital, Veterans Affairs (VA) & Department of Defense (DoD) Data
Content Type: Abstract
Since July 2004 the BioSense program at the Centers for Disease Control and Prevention (CDC) has received data from DoD military and VA outpatient clinics (not in real time). In January 2006 real-time hospital data (e.g. chief complaints and… read more -
Antiviral Prescription Data to Enhance Influenza Surveillance
Content Type: Abstract
Influenza surveillance provides public health officials and healthcare providers with data on the onset, duration, geographic location, and level of influenza activity in order to guide the local use of interventions. The Influenza Sentinel Provider… read more -
Automated Monitoring of Asthma Using the BioSense System
Content Type: Abstract
In 2006, approximately 6.8 million children and 16.1 million adults were reported to have asthma in the US. The CDC BioSense System currently receives data from >540 hospital emergency departments (EDs; 522 send patient chief… read more -
Automated Monitoring of Exposures Using the BioSense System
Content Type: Abstract
BioSense is a national automated surveillance system designed to enhance the nation's capability to rapidly detect and quantify public health emergencies, by accessing and analyzing diagnostic and prediagnostic health data. The… read more -
An Efficient Approach to Map LOINC Concepts to Notifiable Conditions
Content Type: Abstract
The objective of this project was to develop an efficient method to map Logical Observation Identifier Names and Codes (LOINC) to notifiable conditions to accommodate future changes in standard laboratory test codes. -
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. -
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 -
Evaluation of Spatial Estimation Methods for Cluster Detection
Content Type: Abstract
CDC’s BioSense system provides near-real time situational awareness for public health monitoring through analysis of electronic health data. Determination of anomalous spatial and temporal disease clusters is a crucial part of… read more