scholarly journals Use of a Real-Time Syndromic Surveillance System to Improve Influenza Like Illness Screening and Documentation in Emergency Departments during the H1N1 Pandemic

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
David Meurer ◽  
James Talbot
2017 ◽  
Vol 32 (6) ◽  
pp. 667-672 ◽  
Author(s):  
Dan Todkill ◽  
Paul Loveridge ◽  
Alex J. Elliot ◽  
Roger A. Morbey ◽  
Obaghe Edeghere ◽  
...  

AbstractIntroductionThe Public Health England (PHE; United Kingdom) Real-Time Syndromic Surveillance Team (ReSST) currently operates four national syndromic surveillance systems, including an emergency department system. A system based on ambulance data might provide an additional measure of the “severe” end of the clinical disease spectrum. This report describes the findings and lessons learned from the development and preliminary assessment of a pilot syndromic surveillance system using ambulance data from the West Midlands (WM) region in England.Hypothesis/ProblemIs an Ambulance Data Syndromic Surveillance System (ADSSS) feasible and of utility in enhancing the existing suite of PHE syndromic surveillance systems?MethodsAn ADSSS was designed, implemented, and a pilot conducted from September 1, 2015 through March 1, 2016. Surveillance cases were defined as calls to the West Midlands Ambulance Service (WMAS) regarding patients who were assigned any of 11 specified chief presenting complaints (CPCs) during the pilot period. The WMAS collected anonymized data on cases and transferred the dataset daily to ReSST, which contained anonymized information on patients’ demographics, partial postcode of patients’ location, and CPC. The 11 CPCs covered a broad range of syndromes. The dataset was analyzed descriptively each week to determine trends and key epidemiological characteristics of patients, and an automated statistical algorithm was employed daily to detect higher than expected number of calls. A preliminary assessment was undertaken to assess the feasibility, utility (including quality of key indicators), and timeliness of the system for syndromic surveillance purposes. Lessons learned and challenges were identified and recorded during the design and implementation of the system.ResultsThe pilot ADSSS collected 207,331 records of individual ambulance calls (daily mean=1,133; range=923-1,350). The ADSSS was found to be timely in detecting seasonal changes in patterns of respiratory infections and increases in case numbers during seasonal events.ConclusionsFurther validation is necessary; however, the findings from the assessment of the pilot ADSSS suggest that selected, but not all, ambulance indicators appear to have some utility for syndromic surveillance purposes in England. There are certain challenges that need to be addressed when designing and implementing similar systems.TodkillD, LoveridgeP, ElliotAJ, MorbeyRA, EdeghereO, Rayment-BishopT, Rayment-BishopC, ThornesJE, SmithG. Utility of ambulance data for real-time syndromic surveillance: a pilot in the West Midlands region, United Kingdom. Prehosp Disaster Med. 2017;32(6):667–672.


2015 ◽  
Vol 27 (4) ◽  
pp. 343-347 ◽  
Author(s):  
Michael M Dinh ◽  
Christopher Kastelein ◽  
Kendall J Bein ◽  
Timothy C Green ◽  
Tanya Bautovich ◽  
...  

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Melinda C. Thomas ◽  
David Atrubin ◽  
Janet J. Hamilton

This session discusses an assessment of the effect of patient self-registration methods in hospital emergency departments on data in a syndromic surveillance system and provides suggestions for best practices in identifying and analyzing these data.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0122865 ◽  
Author(s):  
Ting Chia Weng ◽  
Ta Chien Chan ◽  
Hsien Tang Lin ◽  
Chia Kun Jasper Chang ◽  
Wen Wen Wang ◽  
...  

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Corinne Pioche ◽  
Christine Larsen ◽  
Céline Caserio-Schonemann ◽  
Vanina Héraud-Bousquet

Our objectives were to explore the relevance of emergency departments' (ED) data, collected daily through the French syndromic surveillance system (414 EDs, 65% attendances), to describe the characteristics of patients with acute liver failure (ALF). Data corresponding to ICD10 codes related to hepatitis diagnosis that include ALF ICD10 code (K720) were extracted and analyzed. During 2010-2012, 246 730 attendances with hepatitis were recorded of which 2 475 (1%) were linked to ALF. Patients with ALF were male (60%), their median age was 55 years. This study shows the relevance of French syndromic surveillance data to assess the burden of ALF.


2015 ◽  
Vol 119 (3-4) ◽  
pp. 216-221 ◽  
Author(s):  
G. Torres ◽  
V. Ciaravino ◽  
S. Ascaso ◽  
V. Flores ◽  
L. Romero ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document