TY - JOUR
T1 - Key Data Elements in Myeloid Leukemia
AU - Varghese, Julian
AU - Holz, Christian
AU - Neuhaus, Phillip
AU - Bernardi, Massimo
AU - Boehm, Alexandra
AU - Ganser, Arnold
AU - Gore, Steven
AU - Heaney, Mark
AU - Hochhaus, Andreas
AU - Hofmann, Wolf Karsten
AU - Krug, Utz
AU - Müller-Tidow, Carsten
AU - Smith, Alexandra
AU - Weltermann, Ansgar
AU - de Witte, Theo
AU - Hehlmann, Rüdiger
AU - Dugas, Martin
PY - 2016
Y1 - 2016
N2 - Data standards consisting of key data elements for clinical routine and trial documentation harmonize documentation within and across different health care institutions making documentation more efficient and improving scientific data analysis. This work focusses on the field of myeloid leukemia (ML), where a semantic core of common data elements (CDEs) in routine and trial documentation is established by automatic UMLS-based form analysis of existing documentation models. These CDEs (n = 227) were initially reviewed and commented by leukemia experts before they were systematically surveyed by an international voting process through seven hematologists of four countries. The total agreement score was 86%. 116 elements (51%) of these share an agreement score of 100%. This work generated CDEs with language-independent semantic codes and international clinical expert review to build a first approach towards an international data standard for ML. A first version of the CDE list is implemented in the data standard Operational Data Model and additional other data formats for reuse in different medical information systems.
AB - Data standards consisting of key data elements for clinical routine and trial documentation harmonize documentation within and across different health care institutions making documentation more efficient and improving scientific data analysis. This work focusses on the field of myeloid leukemia (ML), where a semantic core of common data elements (CDEs) in routine and trial documentation is established by automatic UMLS-based form analysis of existing documentation models. These CDEs (n = 227) were initially reviewed and commented by leukemia experts before they were systematically surveyed by an international voting process through seven hematologists of four countries. The total agreement score was 86%. 116 elements (51%) of these share an agreement score of 100%. This work generated CDEs with language-independent semantic codes and international clinical expert review to build a first approach towards an international data standard for ML. A first version of the CDE list is implemented in the data standard Operational Data Model and additional other data formats for reuse in different medical information systems.
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M3 - Article
C2 - 27577388
AN - SCOPUS:85021309014
VL - 228
SP - 282
EP - 286
JO - Studies in Health Technology and Informatics
JF - Studies in Health Technology and Informatics
SN - 0926-9630
ER -