Literature DB >> 27577388

Key Data Elements in Myeloid Leukemia.

Julian Varghese1, Christian Holz1, Phillip Neuhaus1, Massimo Bernardi2, Alexandra Boehm3, Arnold Ganser4, Steven Gore5, Mark Heaney6, Andreas Hochhaus7, Wolf-Karsten Hofmann8, Utz Krug9, Carsten Müller-Tidow10, Alexandra Smith11, Ansgar Weltermann3, Theo de Witte12, Rüdiger Hehlmann13, Martin Dugas1.   

Abstract

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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Year:  2016        PMID: 27577388

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  CDEGenerator: an online platform to learn from existing data models to build model registries.

Authors:  Julian Varghese; Michael Fujarski; Stefan Hegselmann; Philipp Neuhaus; Martin Dugas
Journal:  Clin Epidemiol       Date:  2018-08-10       Impact factor: 4.790

2.  EMR-integrated minimal core dataset for routine health care and multiple research settings: A case study for neuroinflammatory demyelinating diseases.

Authors:  Sophia von Martial; Tobias J Brix; Luisa Klotz; Philipp Neuhaus; Klaus Berger; Clemens Warnke; Sven G Meuth; Heinz Wiendl; Martin Dugas
Journal:  PLoS One       Date:  2019-10-15       Impact factor: 3.240

3.  Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System-Based Semantic Analysis and Experts' Review.

Authors:  Christian Holz; Torsten Kessler; Martin Dugas; Julian Varghese
Journal:  JMIR Med Inform       Date:  2019-08-12
  3 in total

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