scholarly journals The French Emergency Department OSCOUR Network: Evaluation After a 10-year Existence

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Anne Fouillet ◽  
Vanina Bousquet ◽  
Isabelle Pontais ◽  
Anne Gallay ◽  
Céline Caserio- Schönemann
Keyword(s):  
Public Health ◽  
Syndromic Surveillance ◽  
Public Health Surveillance ◽  
Medical Information ◽  
National Level ◽  
Evaluation Criteria ◽  
Health Surveillance ◽  
Syndromic Surveillance System ◽  
The Public ◽  
Level Data

Implemented 10 years ago, the French syndromic surveillance system Oscour, based on emergency departments, has been assessed using four major evaluation criteria in syndromic surveillance: stability and regularity of data transmission, the coverage at the national level, data quality, particularly for medical information and the utility of the system for the public health surveillance. In 2014, about 40,000 daily attendances are extracted automatically from 600 ED departments located all over the territory, covering 80% of the national attendances. About 12,800 different ICD10 codes have been used in 2013, enabling a large public health surveillance.

scholarly journals Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Peter Hicks ◽  
Julie A. Pavlin ◽  
Atar Baer ◽  
David J. Swenson ◽  
Rebecca Lampkins ◽  
...  
Keyword(s):  
Public Health ◽  
Best Practices ◽  
Community Of Practice ◽  
Syndromic Surveillance ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Health Impacts ◽  
Health Practices ◽  
The Public ◽  
Icd 10

The "Preliminary Look into the Icd9/10 Transition Impact on Public Health Surveillance" roundtable will provide a forum for the syndromic surveillance Community of Practice (CoP) to discuss the public health impacts from the ICD-10-CM conversion, and to support jurisdictional public health practices with this transition. The discussion will be aimed at identifying conversion challenges, solutions, and best practices.

scholarly journals Harnessing Data Science Through Healthcare IT Interoperability

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Sheryl L. Taylor
Keyword(s):  
Public Health ◽  
Syndromic Surveillance ◽  
Data Exchange ◽  
Data Science ◽  
Public Health Surveillance ◽  
Local Level ◽  
National Level ◽  
The Public ◽  
Testing Tools ◽  
Electronic Messaging

ObjectiveTo provide tools to generate national and local syndromic surveillance electronic messaging specifications and to test implementations in which the set of requirements have been implemented in order to confirm or refute the conformance to those requirements, thereby promoting healthcare information technology (HIT) interoperability in the public health sector.IntroductionThe ability to harness data science for use in improving population health and public health surveillance begins with the application of interoperability standards to electronic messaging for data exchange between HIT used by public health authorities (PHAs) and the providers who submit patient data to them. When electronic transmissions between these entities are not based on interoperability standards, the patient data that are exchanged may be incomplete, inaccurate, invalid, and/or untimely. As a result, local PHAs and the Centers for Disease Control and Prevention (CDC) may be unable to fulfill their goals of monitoring public health trends and improving population health.MethodsAs part of the effort to meet the need for the application of interoperability standards to electronic messaging for data exchange between HIT modules that submit and collect syndromic surveillance data for public health, the National Institute of Standards and Technology (NIST), in collaboration with the CDC and the International Society for Disease Surveillance (ISDS), developed and maintains a set of validation tools. These tools are focused on standardized syndromic surveillance messaging and are used for HIT certification testing by the Office of the National Coordinator (ONC) and for on-boarding by various public health jurisdictions in the US. In addition, ISDS informatics personnel are using the NIST Implementation Guide Authoring and Management Tool (IGAMT) for creating the first HL7-ballotted version of a guide for syndromic messaging, the HL7 2.5.1 Implementation Guide for Syndromic Surveillance Release 1. This guide is a messaging specification that defines how disparate healthcare applications are to codify and transmit administrative and clinical data for public health surveillance and response. IGAMT is part of an integrated platform that also includes the NIST Test Case Authoring and Management Tool (TCAMT), a Testing Infrastructure and Framework, and the NIST General Validation Tool (GVT). This Web-based platform enables domain experts, such as the ISDS informatics experts, to control the automatic process for generating computable standards and associated testing tools.ResultsDeveloped through collaboration between NIST, the CDC, and ISDS, the 2015 Edition Syndromic Surveillance Test Suite has been used in the ONC HIT Certification Program for validating over one hundred HIT modules against the syndromic messaging guide developed by the CDC and the Public Health Information Network, the PHIN Guide for Syndromic Surveillance Messaging Release 2.0 and the associated Erratum. During the collaborative process, NIST contributed expertise based on many years of co-authoring and using HIT interoperability specifications, and the CDC and ISDS contributed expertise pertaining to the syndromic surveillance domain. Outcomes of this process included increased awareness by all involved parties regarding the challenges of writing computable standards and the challenges associated with testing HIT under constrained circumstances, such as with the ONC HIT Certification Program. The recognition of the need for well-defined standards, as well as testing using real-world scenarios and clinical data, led to the development of IGAMT and TCAMT for automating the production of these artifacts; and with these tools came the ability to automate generation of testing resources, such as syndromic surveillance validation tools that are customized to national-level specifications as well as to state/local-level specifications for use in on-boarding procedures. As of early 2017, states with jurisdictions requiring providers to validate the ability of their HIT modules to generate syndromic messages using the NIST national-level Syndromic Surveillance Test Suite in their on-boarding process included Arkansas, Florida, Indiana, Kansas, Maryland, South Carolina, and Washington. Now that a national-level HL7-balloted syndromic surveillance implementation guide has been generated using IGAMT, representatives of several additional PHAs have expressed interest in using the components of the NIST Integrated Platform for generating local-level specifications and testing tools. State and local jurisdictions often require certain data to be submitted in addition to the data required by the national-level specification. Local-level testing tools used during the on-boarding process would enable jurisdictions to validate syndromic messages created by submitters in order to confirm or refute the conformance to the local-level requirements.ConclusionsImproving population health and public health surveillance by utilizing the power of data science requires the ubiquitous deployment of standards-based data exchange, that is, interoperability, between the numerous disparate HIT modules in use by providers and PHAs today. NIST has created a development platform that enables the domain experts at the CDC and ISDS to use automated tools to generate national- and local-level syndromic surveillance electronic messaging specifications and the associated testing tools that confirm or refute conformance to the requirements in these specifications. These tools promote interoperability as the foundation for harnessing data science for the benefit of the public and the public health entities that serve them. 

Potential added value of the new emergency care dataset to ED-based public health surveillance in England: an initial concept analysis

2019 ◽  
Vol 36 (8) ◽  
pp. 459-464
Author(s):  
Roger Morbey ◽  
Helen Hughes ◽  
Gillian Smith ◽  
Kirsty Challen ◽  
Thomas C Hughes ◽  
...  
Keyword(s):  
Public Health ◽  
Emergency Care ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Public Health Surveillance ◽  
National Level ◽  
Health Surveillance ◽  
Added Value ◽  
National Standard ◽  
National Systems

IntroductionFor the London Olympic and Paralympic Games in 2012, a sentinel ED syndromic surveillance system was established to enhance public health surveillance by obtaining data from a selected network of EDs, focusing on London. In 2017, a new national standard Emergency Care Dataset was introduced, which enabled Public Health England (PHE) to initiate the expansion of their sentinel system to national coverage. Prior to this initiative, we estimated the added value, and potential additional resource use, of an expansion of the sentinel surveillance system.MethodsThe detection capabilities of the sentinel and national systems were compared using the aberration detection methods currently used by PHE. Different scenarios were used to measure the impact on health at a local, subnational and national level, including improvements to sensitivity and timeliness, along with changes in specificity.ResultsThe biggest added value was found to be for detecting local impacts, with an increase in sensitivity of over 80%. There were also improvements found at a national level with outbreaks being detected earlier and smaller impacts being detectable. However, the increased number of local sites will also increase the number of false alarms likely to be generated.ConclusionWe have quantified the added value of national ED syndromic surveillance systems, showing how they will enable detection of more localised events. Furthermore, national systems add value in enabling timelier public health interventions. Finally, we have highlighted areas where extra resource may be required to manage improvements in detection coverage.

Development and psychometric evaluation of the public health surveillance well-being scale

2011 ◽  
Vol 21 (6) ◽  
pp. 1031-1043 ◽  
Author(s):  
C. M. Bann ◽  
R. Kobau ◽  
M. A. Lewis ◽  
M. M. Zack ◽  
C. Luncheon ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Psychometric Evaluation ◽  
Well Being ◽  
Health Surveillance ◽  
The Public

scholarly journals Cholera Public Health Surveillance System in Cameroon

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Moise C. Ngwa ◽  
Song Liang ◽  
Leonard Mbam ◽  
Mouhaman Arabi ◽  
Andrew Teboh ◽  
...  
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Public Health Surveillance ◽  
National Level ◽  
Health Surveillance ◽  
Rapid Response ◽  
Surveillance And Response ◽  
Public Health Surveillance System

Public health surveillance is essential for early detection and rapid response to cholera outbreaks. In 2003, Cameroon adopted the integrated disease surveillance and response (IDSR) strategy. We describe cholera surveillance within IDSR-strategy in Cameroon. Data is captured at health facility, forwarded to health district that compiles and directs data to RDPH in paper format. RDPH sends the data to the national level via internet and from there to the WHO. The surveillance system is passive with no data analysis at districts. Thus the goal of IDSR-strategy of data analysis and rapid response at the district has not been met yet.

Twitter activity about treatments during the COVID-19 pandemic: case studies of remdesivir, hydroxychloroquine, and convalescent plasma. (Preprint)

2020 ◽  
Author(s):  
Tymor Hamamsy ◽  
Richard Bonneau
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Information Dissemination ◽  
Health Surveillance ◽  
White House ◽  
The Public ◽  
Time Period ◽  
Clinical Trial Evidence ◽  
Twitter Activity ◽  
Trial Evidence

BACKGROUND Since the COVID-19 pandemic started, the public has been eager for news about promising treatments, and social media has played a large role in information dissemination. OBJECTIVE In this paper, our objectives are to characterize the public discussion of treatments on Twitter, and demonstrate the utility of these discussions for public health surveillance. METHODS We pulled tweets related to three promising COVID-19 treatments (hydroxychloroquine, remdevisir and convalescent plasma), between the dates of February 28th and May 22nd using the Twitter public API. We characterize treatment tweet trends over this time period. RESULTS Most major tweet/retweet/sentiment trends correlated to public announcement made by the white house and/or to new clinical trial evidence about treatments. Most of the websites people shared in treatment-related tweets were non-scientific media sources that leaned conservative. Hydroxychloroquine was the most discussed treatment on Twitter, and over 10% of hydroxychloroquine tweets mentioned an adverse drug reaction. CONCLUSIONS There is a gap between the public’s attention/discussion around COVID-19 treatments and their evidence. Twitter data can and should be used public health surveillance during this pandemic, as it is informative for monitoring adverse drug reactions, especially as many people avoid going to hospitals/doctors.

Public Health Data Collection and Implementation of the Revised Common Rule

2019 ◽  
Vol 47 (2) ◽  
pp. 232-237 ◽  
Author(s):  
Lisa M. Lee
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Historical Development ◽  
Public Health Surveillance ◽  
Health Data ◽  
Health Surveillance ◽  
Common Rule ◽  
The Public ◽  
Public Health Data ◽  
First Time

For the first time, the revised Common Rule specifies that public health surveillance activities are not research. This article reviews the historical development of the public health surveillance exclusion and implications for other foundational public health practices.

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