EEG in idiopathic focal epilepsy -when to treat? G. Gross-Selbeck et al. Das EEG bei den idiopathischen fokalen Epilepsien -wann behandeln? Zeitschrift für Epileptologie, Band 17, Heft 2 (2004) © Steinkopff Verlag 2004 Abb. 1 Altersstreuung der untersuchten Patienten (n = 36) Abb. 2 Eng umschriebener diskontinuierlicher sharp wave-Fokus, auch mit wechselnder Seitenbetonung, aber ohne Ausbreitung oder Generalisation Abb. 3 Eng umschriebener diskontinuierlicher bis kontinuierlicher sharp wave-Fokus ohne Generalisation Abb. 4 Diskontinuierlicher sharp wave-Fokus mit Generalisation bzw. Ausbreitung zur Gegenseite Abb. 5 Kontinuierliche, sich über eine Hemisphäre ausbreitende hypersynchrone Aktivität, auch mit vereinzelter Ausbreitung zur Gegenseite 96 Zeitschrift für Epileptologie, Band 17, Heft 2 (2004) © Steinkopff Verlag 2004 Abb. 10 Häufigkeiten der nach EEG-Kriterien klassifizierten Patienten Abb. 11 IQ-Verteilung der untersuchten Patienten (n = 36) Abb. 12 Ausgangsbefund EEG/IQ (n = 36), s. Text 98 Zeitschrift für Epileptologie, Band 17, Heft 2 (2004) © Steinkopff Verlag 2004 Abb. 16 IQ im Verlauf zum EEG-Endbefund (n = 36) Abb. 17 Umschriebene Entwicklungsstörungen in der Gruppe der Kinder mit signifikanter Verbesserung des IQ (n = 12) Abb. 18 Alter bei Erkrankungsbeginn in Relation zum IQ-Verlauf (n = 36) Abb. 19 EEG-Ausgangsbefund in Relation zum IQ-Endbefund

Quality issue Quality assessment is challenging in children with developmental disorders. Previously, a set of quality indicators (QIs) was developed and analyzed in terms of feasibility of use with patients with attention-deficit/hyperactivity disorder (ADHD). QI assessment turned out to be possible but highly complex. Thus, we compared different technologies for automated extraction of data for assessment of QIs. Choice of solution Four automated extraction technologies (regular expressions, Apache Solr, Apache Mahout, Apache OpenNLP) were compared with respect to their properties regarding the complexity of implementing the QI, the complexity of implementing a check module, the reliability and quality of results, the complexity of preparation of interdisciplinary medical reports, and the complexity of deployment and installation. Implementation Twenty medical reports from different institutions were reviewed for compliance with three QIs by these technologies and compared with expert opinions. Evaluation Among the four technologies, Apache Solr had the best overall performance. For manual extraction of the three QIs, at least 77 s were necessary per medical report, whereas the prototype evaluated and extracted the QIs automatically in 8 s on average. Unexpectedly, different assessments of the degree of compliance by the experts turned out to be one of the stumbling blocks. An in-depth evaluation compared results on a semantic level. Lessons learned It is possible to extract QIs by post-processing automated technologies. This approach can also be applied to other developmental disorders. However, a more uniform documentation throughout institutions involved will be necessary in order to implement this method in daily practice.

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