scholarly journals How Should We Be Conducting Routine Analysis of Traditional Emergency Department Syndromic Surveillance Data?

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David Atrubin ◽  
Michael Wiese
Keyword(s):  
Emergency Department ◽  
Best Practices ◽  
International Society ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Outbreak Detection ◽  
Surveillance Systems ◽  
Track Record ◽  
Periodic Disease

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.

scholarly journals Emergency department syndromic surveillance systems: a systematic review

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Helen E. Hughes ◽  
Obaghe Edeghere ◽  
Sarah J. O’Brien ◽  
Roberto Vivancos ◽  
Alex J. Elliot
Keyword(s):  
Public Health ◽  
Emergency Department ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Best Practice ◽  
Public Health Practice ◽  
Healthcare Services ◽  
Urgent Care ◽  
Severe Illness ◽  
Surveillance Systems

Abstract Background Syndromic surveillance provides public health intelligence to aid in early warning and monitoring of public health impacts (e.g. seasonal influenza), or reassurance when an impact has not occurred. Using information collected during routine patient care, syndromic surveillance can be based on signs/symptoms/preliminary diagnoses. This approach makes syndromic surveillance much timelier than surveillance requiring laboratory confirmed diagnoses. The provision of healthcare services and patient access to them varies globally. However, emergency departments (EDs) exist worldwide, providing unscheduled urgent care to people in acute need. This provision of care makes ED syndromic surveillance (EDSyS) a potentially valuable tool for public health surveillance internationally. The objective of this study was to identify and describe the key characteristics of EDSyS systems that have been established and used globally. Methods We systematically reviewed studies published in peer review journals and presented at International Society of Infectious Disease Surveillance conferences (up to and including 2017) to identify EDSyS systems which have been created and used for public health purposes. Search criteria developed to identify “emergency department” and “syndromic surveillance” were applied to NICE healthcare, Global Health and Scopus databases. Results In total, 559 studies were identified as eligible for inclusion in the review, comprising 136 journal articles and 423 conference abstracts/papers. From these studies we identified 115 EDSyS systems in 15 different countries/territories across North America, Europe, Asia and Australasia. Systems ranged from local surveillance based on a single ED, to comprehensive national systems. National EDSyS systems were identified in 8 countries/territories: 2 reported inclusion of ≥85% of ED visits nationally (France and Taiwan). Conclusions EDSyS provides a valuable tool for the identification and monitoring of trends in severe illness. Technological advances, particularly in the emergency care patient record, have enabled the evolution of EDSyS over time. EDSyS reporting has become closer to ‘real-time’, with automated, secure electronic extraction and analysis possible on a daily, or more frequent basis. The dissemination of methods employed and evidence of successful application to public health practice should be encouraged to support learning from best practice, enabling future improvement, harmonisation and collaboration between systems in future. Prospero number CRD42017069150.

scholarly journals Surveillance of Overdose-related Emergency Department Visits in Rhode Island

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Matthew Lozier ◽  
Colleen Martin ◽  
Daniel Chaput
Keyword(s):  
Emergency Department ◽  
Rhode Island ◽  
Drug Overdose ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Illicit Drug ◽  
Emergency Department Visits ◽  
Surveillance Systems ◽  
Chief Complaints ◽  
Overdose Deaths

We determined if the Rhode Island Real-time Outbreak and Disease Surveillance (RODS) system identified an increase in emergency department (ED) overdose visits during a known cluster of illicit-drug overdose deaths in RI and characterized ED overdose visits. When stratified by ED there was a significant increase in overdose chief complaints from one ED during March - May 2013 compared to the previous year. This coincides with the cluster of drug overdose deaths in March 2013. Despite most chief complaints for overdose not specifying cause, syndromic surveillance systems provide an existing platform that could be used to better assess ED overdose visits.

scholarly journals National surveillance capacity of water-related diseases in the WHO European Region

2011 ◽  
Vol 9 (4) ◽  
pp. 752-762
Author(s):  
M. Blasi ◽  
M. Carere ◽  
E. Funari
Keyword(s):  
Disease Surveillance ◽  
Task Force ◽  
Sustainable Use ◽  
Outbreak Detection ◽  
European Region ◽  
Contingency Planning ◽  
Surveillance Systems ◽  
Remedial Action ◽  
Mortality And Morbidity ◽  
Related Disease

Water-related diseases continue to cause a high burden of mortality and morbidity in the countries of the European Region. Parties to the Protocol on Water and Health are committed to the sustainable use of water resources, the provision of safe drinking water and adequate sanitation to all people of the European Region, and to the reduction of the burden of water-related diseases. A specialized Task Force is implementing a work plan aimed at strengthening the capacity for water-related disease surveillance, outbreak detection and contingency planning. Parties to the Protocol are obliged to set targets, and report on progress on water-related disease surveillance. The present paper aims to provide a baseline assessment of national capacities for water-related disease surveillance on the basis of the replies to a questionnaire. This was prepared in English and Russian and administered to 53 countries, 15 of which replied. The results confirm the heterogeneity in surveillance systems, the weakness of many countries to adequately survey emerging water-related diseases, and the need for specific remedial action. The findings of the exercise will form the basis for future action under the Protocol on Water and Health.

scholarly journals Catching the flu: Syndromic surveillance, algorithmic governmentality and global health security

2016 ◽  
Vol 48 (1) ◽  
pp. 46-62 ◽  
Author(s):  
Stephen L Roberts ◽  
Stefan Elbe
Keyword(s):  
Global Health ◽  
Syndromic Surveillance ◽  
Security Policy ◽  
Emerging Diseases ◽  
Outbreak Detection ◽  
Significant Shift ◽  
Surveillance Systems ◽  
Global Public Health ◽  
Global Health Security ◽  
Health Security

How do algorithms shape the imaginary and practice of security? Does their proliferation point to a shift in the political rationality of security? If so, what is the nature and extent of that shift? This article argues that efforts to strengthen global health security are major drivers in the development and proliferation of new algorithmic security technologies. In response to a seeming epidemic of potentially lethal infectious disease outbreaks – including HIV/AIDS, Severe Acute Respiratory Syndrome (SARS), pandemic flu, Middle East Respiratory Syndrome (MERS), Ebola and Zika – governments and international organizations are now using several next-generation syndromic surveillance systems to rapidly detect new outbreaks globally. This article analyses the origins, design and function of three such internet-based surveillance systems: (1) the Program for Monitoring Emerging Diseases, (2) the Global Public Health Intelligence Network and (3) HealthMap. The article shows how each newly introduced system became progressively more reliant upon algorithms to mine an ever-growing volume of indirect data sources for the earliest signs of a possible new outbreak – gradually propelling algorithms into the heart of global outbreak detection. That turn to the algorithm marks a significant shift in the underlying problem, nature and role of knowledge in contemporary security policy.

scholarly journals Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Andrew Walsh
Keyword(s):  
Syndromic Surveillance ◽  
Disease Outbreak ◽  
Surveillance Data ◽  
Outbreak Detection ◽  
Infectious Disease Outbreak ◽  
Disease Outbreak Detection ◽  
Health Domains ◽  
Ambulatory Practice ◽  
Practice Care

Ambulatory practice syndromic surveillance data needs to demonstrate utility beyond infectious disease outbreak detection to warrant integration into existing systems. The nature of ambulatory practice care makes it well suited for monitoring health domains not covered by emergency departments. This project demonstrates collection of height and weight measurements from ambulatory practice syndromic surveillance data. These data are used to calculate patient BMI, an important risk factor for many chronic diseases. This work is presented as a proof-of-principle for applying syndromic surveillance data to additional health domains.

scholarly journals Impact of Patient Self-Registration in Emergency Departments on Syndromic Surveillance Data

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Melinda C. Thomas ◽  
David Atrubin ◽  
Janet J. Hamilton
Keyword(s):  
Best Practices ◽  
Emergency Departments ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Hospital Emergency ◽  
Syndromic Surveillance System ◽  
Hospital Emergency Departments

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.

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