Displaying results 1 - 3 of 3
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Exploring the Expanded PHIN Messaging Guide for Syndromic Surveillance
Content Type: Webinar
ISDS, in collaboration with and with the support of CDC, recently released a new version of the PHIN Messaging Guide for Syndromic Surveillance. This Guide expands on previous versions and includes specifications for transmitting… read more… (TreaBng) Message Date/Time Unique PaBent/Visit IdenBfier Age Age Units* (Condi'onal) … PaBent Country Chief Complaint/ Reason for Visit Admit or Encounter Date/Time PaBent Class … feedback on drao versions of this Guide through phone calls, discussion forum, and email Special … -
Syndromic Surveillance Using Electronic Health Record Clinical Data from Hospital and Ambulatory Settings: An Annotated Bibliography
Content Type: References
This annotated bibliography summarizes close to 50 articles on syndromic surveillance using EHR data from hospital and ambulatory settings. The bibliography is a valuable resource for both practitioners and researchers as they continue to assess the… read more… and environmental triggers: a retrospective review of ED visits using an electronic medical record. 9. Emergency … is Associated with Cardiopulmonary Emergency Department Visits Assessed through Syndromic Surveillance. Syndromic … calls network, Bordeaux, France. 28.Comparison of Office Visit and Nurse Advice Hotline Data for Syndromic … -
Regional Syndromic Surveillance Data Sharing Workshop: HHS Region 10
Content Type: Report
The HHS Region 10 workshop engaged nine participants from state and local public health departments in Idaho, Oregon, and Washington with experience in syndromic surveillance that ranged from less than 1 year to over 10 years. Representatives from… read more… illness (ILI) surveillance using regional health center visit data with an aim of better understanding the practical … barriers, and solutions to sharing health center visit data among jurisdictions in HHS Region 10 and with the … to BioSense 2.0 classifier; and factors influencing ILI visit data interpretation Day 1 Reflections Participant …