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Transition database for rare diseases and its use for clinical documentation.
Zoch, Michele; Gierschner, Christian; Gebler, Richard; Leutner, Liz A; Kretschmer, Tanita; Danker, Adrian; Lee-Kirsch, Min Ae; Berner, Reinhard; Sedlmayr, Martin.
Afiliación
  • Zoch M; Institute for Medical Informatics and Biometry at the Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
  • Gierschner C; Institute for Medical Informatics and Biometry at the Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
  • Gebler R; Institute for Medical Informatics and Biometry at the Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
  • Leutner LA; Institute for Medical Informatics and Biometry at the Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
  • Kretschmer T; University Centre for Rare Diseases and Department of Pediatrics, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
  • Danker A; Center of Medical Informatics, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Lee-Kirsch MA; University Centre for Rare Diseases and Department of Pediatrics, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Berner R; University Centre for Rare Diseases and Department of Pediatrics, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Sedlmayr M; Institute for Medical Informatics and Biometry of the Medical Faculty Carl Gustav Carus, The Technische Universität Dresden, Dresden, Germany.
Health Informatics J ; 30(2): 14604582241259322, 2024.
Article en En | MEDLINE | ID: mdl-38855877
ABSTRACT
Patients with rare diseases commonly suffer from severe symptoms as well as chronic and sometimes life-threatening effects. Not only the rarity of the diseases but also the poor documentation of rare diseases often leads to an immense delay in diagnosis. One of the main problems here is the inadequate coding with common classifications such as the International Statistical Classification of Diseases and Related Health Problems. Instead, the ORPHAcode enables precise naming of the diseases. So far, just few approaches report in detail how the technical implementation of the ORPHAcode is done in clinical practice and for research. We present a concept and implementation of storing and mapping of ORPHAcodes. The Transition Database for Rare Diseases contains all the information of the Orphanet catalog and serves as the basis for documentation in the clinical information system as well as for monitoring Key Performance Indicators for rare diseases at the hospital. The five-step process (especially using open source tools and the DataVault 2.0 logic) for set-up the Transition Database allows the approach to be adapted to local conditions as well as to be extended for additional terminologies and ontologies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Enfermedades Raras / Documentación Límite: Humans Idioma: En Revista: Health Informatics J Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Enfermedades Raras / Documentación Límite: Humans Idioma: En Revista: Health Informatics J Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido