Displaying results 17 - 24 of 690
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Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data
Content Type: Abstract
Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in… read more… of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use … ID and earliest date in the record to identify a unique visit. If the earliest dates in records with the same … of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use … -
A Comparison of Electronic Emergency Department Visits and Data Collected Manually During a Field Exercise
Content Type: Abstract
To compare the completeness of emergency department (ED) visit and hospital admissions data collected electronically for syndromic surveillance and data collected manually for a field surveillance exercise.… To compare the completeness of emergency department (ED) visit and hospital admissions data collected electronically … To compare the completeness of emergency department (ED) visit and hospital admissions data collected electronically … hospital admissions for the 7-day period before the site visit. Of the 50 hospital EDs that report electronic data to … -
Using Age & Syndrome to Characterize Epidemic Winter-Seasonal Acute Gastroenteritis
Content Type: Abstract
We describe age- and syndrome-specific emergency department (ED) visit patterns for diarrhea and vomiting associated with periods of confirmed epidemic rotavirus and presumed epidemic norovirus in New York City (NYC).… age- and syndrome-specific emergency department (ED) visit patterns for diarrhea and vomiting associated with … age- and syndrome-specific emergency department (ED) visit patterns for diarrhea and vomiting associated with … patterns suggest NV predominated during the ED visit peak in Dec 2004, RV during the Feb-May 2005 period … -
Timeliness of Ambulatory Data for Age-Specific ILI Surveillance
Content Type: Abstract
While there has been some work to evaluate different data sources for syndromic surveillance of influenza, no one has yet assessed the utility of simultaneously restricting data to specific visit settings and patient age-groups using… read more… utility of simultaneously restricting data to specific visit settings and patient age-groups using data drawn from … source population, we aimed to compare age-group and visit setting specific patterns in the timing of patients … of the CCFs between vari- ous age group and visit setting specific subsets of ILI visits and P&I … -
ICD-10-CM Conversion
Content Type: References
Curated list of documents supporting the transition from ICD-9-CM to ICD-10-CM/PCS. For more information about the project, visit the project description page on… read more… to ICD-10-CM/PCS. For more information about the project, visit the project description page on … (41) 25.3% (86) 43.5% (148) 13.8% (47) 5.3% (18) 2.62 340 Lack of funding 12.4% (42) 26.9% (91) 37.9% (128) 16.3% (55) … diagnosis code to indicate the trimester for which the visit is being billed: 1st trimester: less than 14 weeks 0 … -
Syndromic Surveillance for Situation Awareness: Understanding Syndrome Performance
Content Type: Abstract
The August 21, 2017 total solar eclipse in Idaho was anticipated to lead to a large influx of visitors in many communities, prompting a widespread effort to assure Idaho was prepared. To support these efforts, the Idaho Syndromic Surveillance… read more… syndromic surveillance using emergency department (ED) visit data contributed to the National Syndromic … message containing information on an emergency department visit is sent to ISSp within 24 hours of the visit and includes the chief complaint for the visit. Data … -
BioSense 2.0 Webinar: Data Quality Checks and Assurance
Content Type: Webinar
Presenters Caleb Wiedeman and Harold Gil will describe some of the processes their organizations use to ensure the quality of data in BioSense v2.0. First, Caleb Wiedeman will review his normal routine of verifying data quality, including checking… read more… BioSense v2.0 application for aberrations and drops in visit counts, linking front-end data to the back end using R, and using phpMyAdmin to check daily files. … data quality metrics in BioSense v2.0 (e.g., drops in visit counts). Discuss the UCEP group’s work on BioSense … -
BioSense 2.0 Webinar: Data Flow
Content Type: Webinar
Presenters Mike Alletto and Nabarun Dasgupta will describe the process of how data are received, processed and brought forward to the front-end application in BioSense v2.0. Their presentation will include a technical overview of all of the steps… read more… and loading data to the BioSense application. Compare visit-level records on the front-end application with records in the back-end lockers and understand where the fields originated … then$the$visit$is$counted$but$no$syndrome$is$listed.$ … the front-‐end application with records in the back-‐end lockers and understand where the fields …
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