Displaying results 9 - 16 of 30
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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. -
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 -
Advanced Querying Features for Disease Surveillance Systems
Content Type: Abstract
Automated disease surveillance systems that analyze data by syndrome categories have been used to look for outbreaks of disease for about 10 years. Most of these systems notify users of increases in the prevalence of reports in syndrome categories… 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. -
Defining Clinical Condition Categories for Biosurveillance
Content Type: Abstract
The goal of this project is to create a set of clinical condition categories based on explicit criteria for use in biosurveillance programs. The categories will be defined and keywords and ICD-9-CM diagnosis codes for implementation will be proposed. -
Performance Characteristics of Control Chart Detection Methods
Content Type: Abstract
To recognize outbreaks so that early interventions can be applied, BioSense uses a modification of the EARS C2 method, stratifying days used to calculate the expected value by weekend vs weekday, and including a rate-based method… read more -
Performance of Sub-Syndrome Chief Complaint Classifiers for the GI Syndrome
Content Type: Abstract
The Centers for Disease Control and Prevention BioSense project has developed chief complaint (CC) and ICD9 sub-syndrome classifiers for the major syndromes for early event detection and situational awareness. This has the potential to… read more -
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