Enhancing Biosurveillance Specificity Using PraedicoTM, A Next Generation Application

Vahdatpour, Alireza; Lucero-Obusan, Cynthia; Lee, Chris; Oda, Gina; Schirmer, Patricia; Mostaghimi, Anosh; Sedghi, Farshid; Etminani, Payam; Holodniy, Mark

doi:10.5210/ojphi.v8i1.6588

Cited by 2 publications

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“…One advantage of the VA's recent transition to Praedico is improved specificity and precision for detecting syndrome clusters and reduced alerting. 20 Moving forward, we can evaluate whether timing and the number of TT alerts are improved with this system. Finally, we performed our analysis against a single external data source (CDC FluView).…”

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confidence: 99%

“…17,18 In 2015, the VA transitioned to another syndromic surveillance tool called Praedico (Bitscopic, Inc), which has enhanced architecture and flexibility to accommodate the VA's growing volume and variety of data. 19,20 Influenza causes substantial morbidity and mortality in VA patients, although the burden of disease fluctuates from year to year. For the 6 most recent influenza seasons (2010-2011 through 2015-2016), activity was lowest during the 2011-2012 influenza season: 546 influenza-coded hospitalizations and 1005 laboratory-confirmed cases recorded.…”

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confidence: 99%

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Enhanced Influenza Surveillance Using Telephone Triage and Electronic Syndromic Surveillance in the Department of Veterans Affairs, 2011-2015

et al. 2017

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Telephone triage (TT) is a method whereby medical professionals speak by telephone to patients to assess their symptoms or health concerns and offer advice. These services are often administered through an electronic TT system, which guides TT professionals during the encounter through the use of structured protocols and algorithms to help determine the severity of the patients' health issue and refer them to appropriate care. TT is also an emerging data source for public health surveillance of infectious and noninfectious diseases, including influenza. We calculated Spearman correlation coefficients to compare the weekly number of US Department of Veterans Affairs (VA) TT calls with other conventional influenza measures for the 2011-2012 through 2014-2015 influenza seasons, for which there were a total of 35 666 influenza-coded TT encounters. Influenza-coded calls were strongly correlated with weekly VA influenza-coded hospitalizations (0.85), emergency department visits (0.90), influenza-like illness outpatient visits (0.92), influenza tests performed (0.86), positive influenza tests (0.82), and influenza antiviral prescriptions (0.89). The correlation between VA-TT and Centers for Disease Control and Prevention (CDC) national data for weekly influenza hospitalizations, influenza tests performed, and positive influenza tests was also strong. TT correlates well with VA health care use and CDC data and is a timely data source for monitoring influenza activity.

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Enhanced Influenza Surveillance Using Telephone Triage and Electronic Syndromic Surveillance in the Department of Veterans Affairs, 2011-2015

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Public health surveillance in the U.S. Department of Veterans Affairs: evaluation of the Praedico surveillance system

et al. 2022

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Background Early threat detection and situational awareness are vital to achieving a comprehensive and accurate view of health-related events for federal, state, and local health agencies. Key to this are public health and syndromic surveillance systems that can analyze large data sets to discover patterns, trends, and correlations of public health significance. In 2020, Department of Veterans Affairs (VA) evaluated its public health surveillance system and identified areas for improvement. Methods Using the Centers for Disease Control and Prevention (CDC) Guidelines for Evaluating Public Health Surveillance Systems, we assessed the ability of the Praedico Surveillance System to perform public health surveillance for a variety of health issues and evaluated its performance compared to an enterprise data solution (VA Corporate Data Warehouse), legacy surveillance system (VA ESSENCE) and a national, collaborative syndromic surveillance platform (CDC NSSP BioSense). Results Review of system attributes found that the system was simple, flexible, and stable. Representativeness, timeliness, sensitivity, and Predictive Value Positive were acceptable but could be further improved. Data quality issues and acceptability present challenges that potentially affect the overall usefulness of the system. Conclusions Praedico is a customizable surveillance and data analytics platform built on big data technologies. Functionality is straightforward, with rapid query generation and runtimes. Data can be graphed, mapped, analyzed, and shared with key decision makers and stakeholders. Evaluation findings suggest that future development and system enhancements should focus on addressing Praedico data quality issues and improving user acceptability. Because Praedico is designed to handle big data queries and work with data from a variety of sources, it could be enlisted as a tool for interdepartmental and interagency collaboration and public health data sharing. We suggest that future system evaluations include measurements of value and effectiveness along with additional organizations and functional assessments.

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Enhancing Biosurveillance Specificity Using PraedicoTM, A Next Generation Application

Cited by 2 publications

References 2 publications

Enhanced Influenza Surveillance Using Telephone Triage and Electronic Syndromic Surveillance in the Department of Veterans Affairs, 2011-2015

Enhanced Influenza Surveillance Using Telephone Triage and Electronic Syndromic Surveillance in the Department of Veterans Affairs, 2011-2015

Public health surveillance in the U.S. Department of Veterans Affairs: evaluation of the Praedico surveillance system

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