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Data Structures in Medicine—On the Road to Data Standards

  • Martin DugasEmail author
Chapter

Abstract

Information systems are a key success factor for medical research and healthcare. Heterogeneous data models impede data exchange and integrated data analysis. In the domain of medicine, data structures are complex due to high number of diseases and related medical terminology. The objective of the Portal of Medical Data Models (MDM, https://medical-data-models.org) is to foster sharing and standardization. As of 2018, MDM constitutes Europe’s largest collection of medical data models (n = 17697). Key principles are transparency, semantic annotation and multi-linguality. Expected benefits of the MDM portal are improved and accelerated design of medical data models by sharing best practice, more standardised data models with semantic annotation and better information exchange between information systems. ERCIS can play an important role in the further dissemination of the system on the European level.

Keywords

Data structure Data standard Medical data model 

References

  1. Becker, J., Kugeler, M., & Rosemann, M. (2012). Prozessmanagement: Ein Leitfaden zur prozessorganisierten Organisationsgestaltung. Heidelberg: Springer Verlag.CrossRefGoogle Scholar
  2. Dugas, M. (2014). Missing semantic annotation in databases. The root cause for data integration and migration problems in information systems. Methods of Information in Medicine, 53(6), 516–517.CrossRefGoogle Scholar
  3. Dugas, M. (2018). Medical data models (MDM-Portal). Retrieved from https://medical-data-models.org/?lang=en.
  4. Dugas, M., et al. (2015). Memorandum “open metadata”. Open access to documentation forms and item catalogs in healthcare. Methods of Information in Medicine, 54(4), 376–378.CrossRefGoogle Scholar
  5. Dugas, M., Neuhaus, P., Meidt, A., Doods, J., Storck, M., Bruland, P., Varghese, J. (2016). Portal of medical data models: information infrastructure for medical research and healthcare. Database—The Journal of Biological Database and Curration (Oxford), 10(1), pii: bav 121.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of MünsterMünsterGermany

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