Data integration and exchange are becoming more crucial with the increasing amount of distributed systems and ever-growing amounts of data. This need is also widely known in medical research and not yet comprehensively solved. Practical implementation steps will demonstrate the different challenges in the context of the National Medical Informatics Initiative in Germany. Top-down versus bottom-up approaches as general methods of standard-based data integration in healthcare will be discussed and illustrated in the process of building up Medical Data Integration Centers. As practical examples, the use cases Infection Control, Cardiology, and Molecular Tumor Board, will be presented. Finally, limitations that prevent the use of theoretically recommended data integration methods in the particular field of medical informatics are illustrated.
CITATION STYLE
Kock-Schoppenhauer, A. K., Schreiweis, B., Ulrich, H., Reimer, N., Wiedekopf, J., Kinast, B., … Ingenerf, J. (2021). Medical Data Engineering – Theory and Practice. In Communications in Computer and Information Science (Vol. 1481 CCIS, pp. 269–284). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-87657-9_21
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