Standardized computer-based organized reporting of EEG: SCORE - Second version

Research output: Contribution to journalJournal articleResearchpeer-review

Documents

Sándor Beniczky, Harald Aurlien, Jan C. Brøgger, Lawrence J. Hirsch, Donald L. Schomer, Eugen Trinka, Ronit M. Pressler, Richard Wennberg, Gerhard H. Visser, Monika Eisermann, Beate Diehl, Ronald P. Lesser, Peter W. Kaplan, Sylvie Nguyen The Tich, Jong Woo Lee, Antonio Martins-da-Silva, Hermann Stefan, Miri Neufeld, Guido Rubboli, Martin Fabricius & 19 others Elena Gardella, Daniella Terney, Pirgit Meritam, Tom Eichele, Eishi Asano, Fieke Cox, Walter van Emde Boas, Ruta Mameniskiene, Petr Marusic, Jana Zárubová, Friedhelm C. Schmitt, Ingmar Rosén, Anders Fuglsang-Frederiksen, Akio Ikeda, David B. MacDonald, Kiyohito Terada, Yoshikazu Ugawa, Dong Zhou, Susan T. Herman

Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings. Standardized terms implemented in SCORE are used to report the features of clinical relevance, extracted while assessing the EEGs. Selection of the terms is context sensitive: initial choices determine the subsequently presented sets of additional choices. This process automatically generates a report and feeds these features into a database. In the end, the diagnostic significance is scored, using a standardized list of terms. SCORE has specific modules for scoring seizures (including seizure semiology and ictal EEG patterns), neonatal recordings (including features specific for this age group), and for Critical Care EEG Terminology. SCORE is a useful clinical tool, with potential impact on clinical care, quality assurance, data-sharing, research and education.

Original languageEnglish
JournalClinical Neurophysiology
Volume128
Issue number11
Pages (from-to)2334-2346
ISSN1388-2457
DOIs
Publication statusPublished - Nov 2017

    Research areas

  • Clinical assessment, Database, EEG, Report, Standardized, Terminology

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 184381765