Displaying results 9 - 16 of 18
-
Utility of Natural Language Processing for Clinical Quality Measures Reporting
Content Type: Abstract
Clinical quality measures (CQMs) are tools that help measure and track the quality of health care services. Measuring and reporting CQMs helps to ensure that our health care system is delivering effective, safe, efficient, patient-centered,… read more -
GUARDIAN: Geographic Utilization of Artificial Intelligence in Real-Time for Disease Identification and Notification
Content Type: Abstract
Real-time disease surveillance is critical for early detection of the covert release of a biological threat agent (BTA). Numerous software applications have been developed to detect emerging disease clusters resulting from either naturally occurring… read more -
Relationship Between Baseline Influenza-like Illness Rates And Healthcare Settings
Content Type: Abstract
The primary goal of syndromic surveillance is early recognition of disease trends, in order to identify and control infectious disease outbreaks, such as influenza. For surveillance of influenza-like illness (ILI), public health departments receive… read more -
Natural Language Processing and Technical Challenges of Influenza-Like Illness Surveillance
Content Type: Abstract
Processing free-text clinical information in an electronic medical record (EMR) may enhance surveillance systems for early identification of ILI outbreaks. However, processing clinical text using NLP poses a challenge in preserving the semantics of… read more -
The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department
Content Type: Abstract
In recent years, the threat of pandemic influenza has drawn extensive attention to the development and implementation of syndromic surveillance systems for early detection of ILI. Emergency department (ED) data are key components for syndromic… read more -
Which Sections of Electronic Medical Records Are Most Relevant for Real-Time Surveillance of Influenza- like Illness?
Content Type: Abstract
Effective real-time surveillance of infectious diseases must strike a balance between reliability and timeliness for early detection. Traditional syndromic surveillance utilizes limited sections of the EMR, such as chief complaints and/or diagnosis… read more -
Disease Profile Development Methodology for Syndromic Surveillance of Biological Threat Agents
Content Type: Abstract
Detection of biological threat agents (BTAs) is critical to the rapid initiation of treatment, infection control measures, and public health emergency response plans. Due to the rarity of BTAs, standard methodology for developing syndrome… read more -
Creating a Local Geographic Influenza-like Illness Activity Report
Content Type: Abstract
Mapping ILI surveillance data can be useful in identifying the direction and speed of an outbreak and for focusing control measures for an efficient public health response. The Centers for Disease Control and Prevention’s (CDC) ILINet currently… read more