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  • Chemical Spill in Kansas: Importance of Sharing Information Across Sites

    Content Type: Success Stories

    On October 21, 2016, at 8:02 am, a distilling plant in Kansas accidentally mixed sulfuric acid and sodium hypochloride, releasing a plume of chlorine gas. The respiratory effects of breathing chlorine gas can be felt almost immediately and can be… read more
    … data knew the demographics and recognized anomalies in visit counts. As patient counts increased, epidemiologists … data knew the demographics and recognized anomalies in visit counts. As patient counts increased, epidemiologists …
  • How Oregon Tested its Mass Gathering Protocol and Mobilized Communities

    Content Type: Success Stories

    Mass gatherings (e.g., concerts, festivals, sporting events, political rallies, and religious gatherings) pose unique challenges to public health officials. Risks associated with large events can vary and are influenced by factors such as crowd… read more
    … and then decreased. Providers noted the eclipse in visit triage notes for various reasons—due to falls or other … and then decreased. Providers noted the eclipse in visit triage notes for various reasons—due to falls or other …
  • Data Requests for Research: Best Practices based on the NC DETECT Experience

    Content Type: Abstract

    The North Carolina Division of Public Health (NC DPH) has been collecting emergency department data in collaboration with the Carolina Center for Health Informatics in the UNC Department of Emergency Medicine since 1999. As of August 2011, there are… read more
    … tick-borne illness and asthma, and comparison of NC ED visit data to national data, among others. Because the ED visit data are collected under a state mandate and in …
  • PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care and Inpatient Settings, Release 1.9 (April 2013)

    Content Type: Messaging Standard

    This document represents the collaborative effort of the International Society for Disease Surveillance (ISDS), the Centers for Disease Control and Prevention (CDC), and National Institute of Standards and Technology (NIST) to specify a national… read more
    … RE O X X Message Date/Time R R X X Unique Patient/Visit Identifier R R X X Age RE RE X X Age Units CE CE X X … X X Patient Country RE O X X Chief Complaint/ Reason for Visit RE RE X X Admit Reason RE RE X Admit or Encounter … X Clinical Impression O O X Date of Onset O O X Facility/Visit Type R R X Medical Record Number O O X SUPPLEMENTARY …
  • Mental and Behavioral Health Resources

    Content Type: References

    The document includes examples of mental and behavioral health resources at the national, federal, state, and local levels. This list was compiled as a supplement for an… read more
    … in mental and behavioral health emergency department visits among school-aged children . Referenced File Document … one for mental health-related emergency department visits. 2. NC DETECT Mental Health Data Dashboard 3. NC … in mental and behavioral health emergency department visits among school-aged children . …
  • BioSense 2.0 Webinar: The Kansas Experience, Health Information Exchanges, and Onboarding

    Content Type: Webinar

    Public health jurisdictions participating in BioSense 2.0 can be on-boarded in several ways, including one hospital at a time or through a health information exchange (HIE). Onboarding through an HIE can simplify the process and ease the burden on… read more
    …  March  26,  2014  –  12:00  PM  –  1:30  PM  EDT   Visit  www.syndromic.org  for  more  information  on …   For  more  information  about  BioSense  2.0,  please  visit  the  BioSense   Redesign  Collaboration  Web  Site …
  • Clostridium Difficile, Surveillance Using Laboratory Data from BioSense Hospitals

    Content Type: Abstract

    To determine the feasibility of using BioSense laboratory data to do surveillance on Clostridium difficile infection (CDI) and calculate overall and facility rates of disease.
    … outpatient), admission and discharge dates, and visit denominator data for rate calculations. A patient was …
  • Syndromic Surveillance and Zip Code Data: The Role of Zip Codes in Understanding Populations

    Content Type: Abstract

    Syndromic surveillance systems use residential zip codes for spatial analysis to identify disease clusters. However, the use of emergency medical services can be influenced by geographic proximity, specialty services, and severity of illness. We… read more
    … by neighborhood from 21.0 to 64.0 per 1,000. The ED visit rate for Boston residents inversely correlated with …