Automated Collection of Pathogen-Specific Diagnostic Data for Real-time Syndromic Epidemiological Studies

Meyers, Lindsay; Ginocchio, Christine C.; Faucett, Aimie; Nolte, Frederick S.; Gesteland, Per H.; Leber, Amy; Janowiak, Diane; Donovan, Virginia; Bard, Jennifer Dien; Spitzer, Silvia; Stellrecht, Kathleen A.; Salimnia, Hossein; Selvarangan, Rangaraj; Juretschko, Stefan; Daly, Judy A.; Wallentine, Jeremy C.; Lindsey, Kristy; Moore, Frances M.; Reed, Sharon L.; Agüero-Rosenfeld, Maria E.; Fey, Paul D.; Storch, Gregory A.; Melnick, Steve J; Robinson, Christine C.; Meredith, Jennifer F.; Cook, Camille V; Nelson, Robert K.; Jones, Jay; Scarpino, Samuel V.; Althouse, Benjamin M.; Ririe, Kirk M.; Malin, Bradley; Poritz, Mark A.

doi:10.2196/preprints.9876.a

Cited by 1 publication

(1 citation statement)

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“…While influenza surveillance systems have potential usefulness for clinical settings, traditional methods for data sharing require gathering and collating data prior to data-sharing resulting in limited utility for front-line clinicians ( 11 ). Development and deployment of improved real-time data collection and reporting systems creates opportunities for sharing information more rapidly ( 6 , 14 , 15 ). Our survey of front-line providers before and after implementation on a prototype real-time cloud-based surveillance system suggests front-line clinicians perceive this as an added value for informing testing and treatment practices during a typical influenza season.…”

Section: Discussionmentioning

confidence: 99%

Front-Line Emergency Department Clinician Acceptability and Use of a Prototype Real-Time Cloud-Based Influenza Surveillance System

Rothman

Hsieh

DuVal

et al. 2021

Front. Public Health

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Objectives: To assess emergency department (ED) clinicians' perceptions of a novel real-time influenza surveillance system using a pre- and post-implementation structured survey.Methods: We created and implemented a laboratory-based real-time influenza surveillance system at two EDs at the beginning of the 2013-2014 influenza season. Patients with acute respiratory illness were tested for influenza using rapid PCR-based Cepheid Xpert Flu assay. Results were instantaneously uploaded to a cloud-based data aggregation system made available to clinicians via a web-based dashboard. Clinicians received bimonthly email updates summating year-to-date results. Clinicians were surveyed prior to, and after the influenza season, to assess their views regarding acceptability and utility of the surveillance system data which were shared via dashboard and email updates.Results: The pre-implementation survey revealed that the majority (82%) of the 151 ED clinicians responded that they “sporadically” or “don't,” actively seek influenza-related information during the season. However, most (75%) reported that they would find additional information regarding influenza prevalence useful. Following implementation, there was an overall increase in the frequency of clinician self-reporting increased access to surveillance information from 50 to 63%, with the majority (75%) indicating that the surveillance emails impacted their general awareness of influenza. Clinicians reported that the additional real-time surveillance data impacted their testing (65%) and treatment (51%) practices.Conclusions: The majority of ED clinicians found surveillance data useful and indicated the additional information impacted their clinical practice. Accurate and timely surveillance information, distributed in a provider-friendly format could impact ED clinician management of patients with suspected influenza.

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Section: Discussionmentioning

confidence: 99%