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Data Structures in Medicine—On the Road to Data Standards

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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.

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Notes

  1. 1.

    https://www.bundesgesundheitsministerium.de/themen/gesundheitswesen/gesundheitswirtschaft/gesundheitswirtschaft-als-jobmotor.html.

  2. 2.

    http://www.nlm.nih.gov/research/umls/.

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Correspondence to Martin Dugas .

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Dugas, M. (2019). Data Structures in Medicine—On the Road to Data Standards. In: Bergener, K., Räckers, M., Stein, A. (eds) The Art of Structuring. Springer, Cham. https://doi.org/10.1007/978-3-030-06234-7_25

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