• 作者：Patrick Obermeier^a ; ^b ; Susann Muehlhans^a ; ^b ; Christian Hoppe^a ; ^b ; Katharina Karsch^a ; Franziska Tief^a ; ^b ; Lea Seeber^a ; ^b ; Xi Chen^a ; ^b ; Tim Conrad^c ; Sindy Boettcher^d ; Sabine Diedrich^d ; Barbara Rath^a ; ^b ; ^{barbara.rath@gmail.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Encephalitis ; Meningitis ; ADEM ; Surveillance ; Mobile health ; Data standards
• 刊名：EBioMedicine
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：4
• 期：Complete
• 页码：191-196
• 全文大小：494 K

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Routine medical records often lack important clinical information.

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Mobile applications can help to enhance data quality and granularity in real-time.

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Digital tools should alert physicians instantly when pertinent data are missing.

We developed an evidence-based mobile health application for the immediate case classification based on consensus criteria for aseptic meningitis, encephalitis, myelitis, and acute disseminated encephalomyelitis. Use of the ViVI Automated Case Classification Tool (VACC-Tool) at the point-of-care helped to achieve significantly enhanced data quality and granularity compared to ICD coding or retrospective data mining.

Future applications can be integrated into the physician workflow facilitating timely and consistent case ascertainment in compliance with international case criteria and regulatory data standards. This will provide accurate, high-resolution clinical data enabling syndromic surveillance, precision medicine, and measurable improvement in patient outcomes.