Displaying results 1 - 5 of 5
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Using clinician mental models to guide annotation of medically unexplained symptoms and syndromes found in VA clinical documents
Content Type: Abstract
Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most common MUS are chronic fatigue … read more… of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most … of symptom constellations and are characterized by a lack of well-defined pathogenic path- ways.1 The three most … of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most … -
Clinical decision support at the time of an e-prescription can sustainably decrease unwarranted use of antibiotics for acute respiratory infections
Content Type: Abstract
Microorganisms resistant to antibiotics (ABX) increase the mortality, morbidity and costs of infections. In the absence of a drug development pipeline that can keep pace with the emerging resistancemechanisms, these organisms are expected… read more… were then manu- ally abstracted on the day of each index visit for all information required to establish … of acute respiratory tract infections in adults: back- ground, specific aims, and methods. (2001). Ann Intern … -
Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
Content Type: Abstract
Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more… Additionally, we searched for documentation on the index visit day of fever > 37.8ºC. RESULTS The ESSENCE and … -
Automated Surveillance To Detect An Influenza Epidemic: Which Respiratory Syndrome Should We Monitor?
Content Type: Abstract
OBJECTIVE Syndromic surveillance systems (SSS) seek early detection of infectious diseases outbreaks by focusing on pre-diagnostic symptoms. We do not yet know which respiratory syndrome should be monitored for a SSS to discover… read more… week of the study year. To distinguish between true- and back- ground-positive alarms, the daily statistics were per- formed on paired background+injection vs. back- ground-only time series. We computed two bench- marks: … yet retained a sensitivity of 69-100% (Models 4 and 6). Com pared to the “respiratory” ICD-9 codeset used by CDC’s … -
Using Biosurveillance Whole-System Facsimiles To Compare Aberrancy-Detection Methods: Should BioSense Use SatScan?
Content Type: Abstract
OBJECTIVE A “whole-system facsimile” recreates a complex automated biosurveillance system running prospectively on real historical datasets. We systematized this approach to compare the performance of otherwise… read more… alarms, the daily sta- tistics were performed on paired back- ground+injection vs. background-only time series. For …