Displaying results 1 - 7 of 7
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Surveillance for acute respiratory infections: should we include all outpatient visits or focus on urgent care areas?
Content Type: Abstract
A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to … read more… that these areas received only 15% of total outpatient visits. Because of this seemingly favorable signal-to-noise … that are urgent (triangles). Time to outbreak detection (y-axis) is plotted as a function of false- alarm rate (upper … S, South B, Anthony JA, Kalp E, Gundlapallli A, Curriero FC, et al. Combining free text and structured electronic … -
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… ARI symptoms)) to EMR entries surrounding all outpatient visits (n!4.1 million) during our study period (January … antibiotics pre- scribed when indicated for ARI (68–70% of all ABX at both sites, pre and post, lower panel). … S, South BR, Anthony J, Kalp E, Gundlapalli A, Curriero FC, et al. Combining free text and structured electronic … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more… investigators. Natural language processing (NLP) systems may be able to assist in identifying epidemiological … to assist public health investigators. NLP systems may be able to assist in identifying epidemiological … asking us to assist them in identifying patients that may have been ill from respiratory illnesses circulating in … -
Reducing the Delay in Detecting an Influenza Epidemic with More Sensitive Case Detection Algorithms
Content Type: Abstract
Measures aimed at controlling epidemics of infectious diseases critically benefit from early outbreak recognition [1]. SSS seek early detection by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously… read more… by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously determined the … by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously determined the … et ec tio n D el ay (d ay s) Figure 1 – Detection delays (y-axis) as a function of Case Detector algorithms (x-axis). … -
Detection of a Vaccine-preventable Reportable Disease: Comparison of Physician Reporting vs. an Electronic Syndromic Surveillance System
Content Type: Abstract
Communicable diseases are underreported by physicians, especially diseases without laboratory tests. The goals of our study were to determine reporting levels for clinical chickenpox, describe clinical data elements common to chickenpox, and assess… read more… on intake. 37% had varicella vaccine at a prior clinic visit. Chief complaints included rash (62%), chickenpox … (3%). 81% were prescribed medications during their visit, including dyphenhydramine or hydroxyzine (43%), … the time period BioSense was utilized, 16/23 cases (70%) were detected as part of the rash syndrome. … -
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… METHODS We randomly sampled 15,377 of 253,818 outpatient visits to the VA Maryland Health Care system (VAMHCS) and … The NegEx algorithm for text-processing detected 2,338 visits with non-negated vomiting or diarrhea or abdominal pain. Altogether, 43 visits met the GI clinical case definition on the basis of … -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more… electronic note documents. False positive extractions may be due to concepts in the text being assigned to the …