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Cited by 29Pharmacovigilance and Adverse Drug ReactionsMedical Coding and Health InformationInfectious Encephalopathies and Encephalitis

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

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Obermeier, Patrick, Muehlhans, Susann, Hoppe, Christian, Karsch, Katharina, Tief, Franziska, Seeber, Lea, Chen, Xi, Conrad, Tim +3 more·2016·EBioMedicine
DOI 10.1016/j.ebiom.2016.01.008PMC PMC4776059
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Abstract

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.

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    From Comparison of different algorithms for lupus anticoagulant detection: a single-center experience (2024) · cites this paper as [22]

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Authors
Obermeier, P., Muehlhans, S., Hoppe, C., Karsch, K., Tief, F., Seeber, L., Chen, X., Conrad, T., Boettcher, S., Diedrich, S., & Rath, B.
Affiliations
  • Vienna Vaccine Safety Initiative (DE)
  • Charité – Universitätsmedizin Berlin (DE)
  • Freie Universität Berlin (DE)
  • Robert Koch Institute (DE)
Corresponding author
Rath, Barbara
ORCID
Venue
EBioMedicine
Publisher
Elsevier BV
Published
2016-02
Volume
4
Pages
191-196
ISSN
2352-3964 (ISSN-L)
DOI
10.1016/j.ebiom.2016.01.008
PMC
PMC4776059
OpenAlex
W2232775164
Cited by
29
References
0
Citations by year
2025: 2 · 2024: 3 · 2023: 1 · 2022: 5 · 2021: 8 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 2
FWCI
2.18
Type
journal article
Language
en
Open access
Licence
Locations
  • EBioMedicine (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Publication server of the Robert Koch Institute (Robert Kock Institute) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
Keywords
point-of-care diagnosis, central nervous system infection, aseptic meningitis, encephalitis, myelitis, acute disseminated encephalomyelitis, ICD-10 coding, electronic health records, quality management programs, mobile application, case ascertainment, precision medicine
MeSH terms
Humans, Medical Records, Software, Medical Records Systems, Computerized, Point-of-Care Systems, Precision Medicine

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