ArticleJournal of the American Medical Informatics Association : JAMIA
Developing syndrome definitions based on consensus and current use.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study.Journal of medical Internet research · 2026Article
- Advocating the potential of artificial intelligence for syndrome discovery in syndromic surveillance systems: A scoping review.iScience · 2026Review
- Establishing and validating syndromic surveillance of gastrointestinal infections using routine emergency department data, Germany, 2019-2023.Scientific reports · 2025Article
- Expert consultation using the on-line Delphi method for the revision of syndromic groups compiled from emergency data (SOS Médecins and OSCOUR®) in France.BMC public health · 2022Article
- Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting.BMC public health · 2021Article
- Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation.JMIR public health and surveillance · 2021Article
- Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study.JMIR public health and surveillance · 2018Article
- Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.JMIR medical informatics · 2018Article
- Defining emergency department asthma visits for public health surveillance, North Carolina, 2008-2009.Preventing chronic disease · 2014Article
- Emergency Medical Text Classifier: New system improves processing and classification of triage notes.Online journal of public health informatics · 2014Article
- Using chief complaints for syndromic surveillance: a review of chief complaint based classifiers in North America.Journal of biomedical informatics · 2013Review
- Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- Gastrointestinal disease outbreak detection using multiple data streams from electronic medical records.Foodborne pathogens and disease · 2012Article
- International society for disease surveillance conference 2011: building the future of public health surveillance.Emerging health threats journal · 2011Article
- Applying a New Model for Sharing Population Health Data to National Syndromic Influenza Surveillance: DiSTRIBuTE Project Proof of Concept, 2006 to 2009.PLoS currents · 2011Article
- Accuracy of syndrome definitions based on diagnoses in physician claims.BMC public health · 2011Article
- A Practitioner-Driven Research Agenda for Syndromic Surveillance.Public health reports (Washington, D.C. : 1974)Article
- Validation of a Syndromic Case Definition for Detecting Emergency Department Visits Potentially Related to Marijuana.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
- Erratum issuedCorrection.2023
Authors and funding
21 authors.
Funding
Abstract
objectiveStandardized surveillance syndromes do not exist but would facilitate sharing data among surveillance systems and comparing the accuracy of existing systems. The objective of this study was to create reference syndrome definitions from a consensus of investigators who currently have or are building syndromic surveillance systems.
designClinical condition-syndrome pairs were catalogued for 10 surveillance systems across the United States and the representatives of these systems were brought together for a workshop to discuss consensus syndrome definitions.
resultsConsensus syndrome definitions were generated for the four syndromes monitored by the majority of the 10 participating surveillance systems: Respiratory, gastrointestinal, constitutional, and influenza-like illness (ILI). An important element in coming to consensus quickly was the development of a sensitive and specific definition for respiratory and gastrointestinal syndromes. After the workshop, the definitions were refined and supplemented with keywords and regular expressions, the keywords were mapped to standard vocabularies, and a web ontology language (OWL) ontology was created. LIMITATIONS: The consensus definitions have not yet been validated through implementation.
conclusionThe consensus definitions provide an explicit description of the current state-of-the-art syndromes used in automated surveillance, which can subsequently be systematically evaluated against real data to improve the definitions. The method for creating consensus definitions could be applied to other domains that have diverse existing definitions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.