Overview Statistic: PDF-Downloads (blue) and Frontdoor-Views (gray)
  • Treffer 3 von 5
Zurück zur Trefferliste

Enabling Precision Medicine With Digital Case Classification at the Point-of-Care

  • Infectious and inflammatory diseases of the central nervous system are difficult to identify early. Case definitions for aseptic meningitis, encephalitis, myelitis, and acute disseminated encephalomyelitis (ADEM) are available, but rarely put to use. The VACC-Tool (Vienna Vaccine Safety Initiative Automated Case Classification-Tool) is a mobile application enabling immediate case ascertainment based on consensus criteria at the point-of-care. The VACC-Tool was validated in a quality management program in collaboration with the Robert-Koch-Institute. Results were compared to ICD-10 coding and retrospective analysis of electronic health records using the same case criteria. Of 68,921 patients attending the emergency room in 10/2010-06/2013, 11,575 were hospitalized, with 521 eligible patients (mean age: 7.6 years) entering the quality management program. Using the VACC-Tool at the point-of-care, 180/521 cases were classified successfully and 194/521 ruled out with certainty. Of the 180 confirmed cases, 116 had been missed by ICD-10 coding, 38 misclassified. By retrospective application of the same case criteria, 33 cases were missed. Encephalitis and ADEM cases were most likely missed or misclassified. The VACC-Tool enables physicians to ask the right questions at the right time, thereby classifying cases consistently and accurately, facilitating translational research. Future applications will alert physicians when additional diagnostic procedures are required.

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Verfasserangaben:Patrick Obermeier, S. Muehlhans, Christian Hoppe, K. Karsch, Franziska Tief, L. Seeber, X. Chen, Tim ConradORCiD, Sindy Boettcher, S. Diedrich, Barbara Rath
Dokumentart:Artikel
Titel des übergeordneten Werkes (Englisch):EBioMedicine
Band:4
Erste Seite:191
Letzte Seite:196
Jahr der Erstveröffentlichung:2016
DOI:https://doi.org/10.1016/j.ebiom.2016.01.008
Accept ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.