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Displaying results 345 - 352 of 449
  • Can Chief Complaints Identify Patients with Febrile Syndromes?

    Content Type: Abstract

     Syndromic surveillance systems often classify patients into syndromic categories based on emergency department (ED) chief complaints. There exists no standard set of syndromes for syndromic surveillance, and the available syndromic case… read more
    … of an outbreak (23). Near the end of a patient’s visit to a healthcare facility, detailed information about … approxi- mately 40,000 adult patients a year, and patient visit data have been stored in the Medical Archival System …
  • Human-learned lessons about machine learning in public health surveillance

    Content Type: Webinar

    Presented December 13, 2018. For public health surveillance, is machine learning worth the effort? What methods are relevant? Do you need special hardware? This talk was motivated by these and other questions asked by ISDS members. It will focus… read more
    … what was the reported blood pressure during last office visit? – [Unsupervised learning] Represent patterns and …
  • Automatic and Secure Data Transfer of Syndromic Data between Hospitals and Public Health Using the PHINMS

    Content Type: Abstract

    The Public Health Information Network (PHIN) Messaging Service (PHINMS) is a PHIN-certified messaging system, initiated and supported by the Centers for Disease Control & Prevention. PHINMS is widely used by many… read more
    … DHEC sends hospital specific data and sum- mary reports back to hospitals automatically via our Auto Send program, … has proved successful. Issues associated with sending back data to hospitals through PHINMS will be addressed. … issues with delivering hospital-specific syndromic data back to the hospital through the PHINMS. PHINMS has shown …
  • A Closer Look at Developing a Statewide Emergency Department Syndromic Surveillance System in a Rural State

    Content Type: Abstract

    This paper describes the issues associated with the creation of a statewide emergency department syndromic surveillance system, part of the South Carolina Aberration Alerting Network (SCAAN), in a predominately rural state.
    … syndromic data and summary reports will be delivered back to the hospitals via the same dedicated Public Health … office staff. Hospital-specific informa- tion was sent back daily to each hospital and their infection control … issues with deliv- ering hospital-specific syndromic data back to the hospital through the PHINMS. The ED …
  • Open Source Syndromic Surveillance Transport Tool

    Content Type: Webinar

    ISDS, in cooperation with the Community for Population and Public Health Measures (COPHM), is pleased to announce an upcoming webinar to be held on June 13th. The purpose of this webinar is to inform ISDS members, EHR technology developers, and… read more
    … §  LLP §  Secure FTP , etc. q  Registration q  Reach Back q  Reports/Analysis Future Directions: Registration: … an open source capability to allow secure “reach back” from a PHA to a sender to address these issues …
  • An exploratory analysis of the 2010 measles outbreak in Zimbabwe

    Content Type: Abstract

    This report describes an exploratory analysis of the 2009-2010 Zimbabwe measles outbreak based on data publicly available in the World Health Organization's Zimbabwe cholera epidemiological bulletin archive. As of December 12th 2010, the outbreak… read more
    … bulletin number 89. http://www.who.int/entity/hac/crises/zwe/sitreps/zwe_ epi_12december2010.pdf, Aug 18, … epidemiological bulletin archive. http://www.who.int/hac/crises/zwe/sitreps/epi_archive/ en/index.html, Aug 18, … - DOI: 10.3402/ehtj.v4i0.11064 http://www.who.int/entity/hac/crises/zwe/sitreps/zwe_epi_12december2010.pdf …
  • 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: …
  • Application of Natural Language Parsers To Syndromic Surveillance

    Content Type: Abstract

    This paper describes a methodology for applying natural language parsing (NLP) technologies, originally developed for analyzing biomedical journal articles, to the monitoring of emergency department patient charts for infectious diseases of interest.
    … and concepts. To overcome a limitation of MMTx – namely lack of negation detection – GUARDIANTM also uses NegEx6. … medical journal articles3,4,5,6; however, patient charts lack the same editorial process and thus commonly exhibit …