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Technology Roadmap Development for Big Data Healthcare Applications

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Abstract

Big data applications indicate a wide range of opportunities to improve the overall quality and efficiency of healthcare delivery. The highest impact of big data applications is expected when data from various healthcare areas, such as clinical, administrative, financial, or outcome data, can be integrated. However, as of today, the realization of big data healthcare applications aggregating various kinds of data sources is still lacking behind. In order to foster the implementation of comprehensive big data applications, a clear understanding of short-term and long-term goals of envisioned big data scenarios is needed to forecast which emerging big data technologies are needed at what point in time. The contribution of this paper is to introduce the development of a technology roadmap for big data technologies in the healthcare domain. Beside the description of user needs and the technologies needed in order to satisfy those needs, the technology roadmap provides a basis to forecast technology developments and, thus, guidance in planning and coordinating technology developments accordingly.

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Notes

  1. http://www.big-project.eu/.

  2. Beside the healthcare sector, several other industrial sectors, such as Energy, Transport, Finance, Manufacturing, Retail and the Public Sector are addressed within the project but not focus of this publication.

  3. Desired situation refers to the year 2020.

  4. The concepts of ‘known unknowns’ and ‘unknown unknows’ were initially quoted by Donald Rumsfeld.

  5. http://www.healthcare.siemens.com/news-and-events/imaging-data-analysis.

  6. http://uima.apache.org/.

  7. http://www.human-phenotype-ontology.org/.

  8. http://www.radlex.org/.

  9. http://sig.biostr.washington.edu/projects/fm/.

  10. http://www.openehr.org/.

  11. http://www.ehr4cr.eu/.

  12. http://dicom.nema.org/.

  13. https://www.db.bme.hu/files/Manuals/Oracle/Oracle11gR2/doc.112/e18026/toc.htm.

  14. www.teradata.de/logical-data-models/healthcare/.

  15. http://www-03.ibm.com/software/products/us/en/healthcare-provider-data-model/.

  16. https://www.i2b2.org/.

  17. http://www.ihe.net/.

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Acknowledgments

This research has been supported in part by the Big Data Public Private Forum, a project that is co-funded by the European Commission within the 7th Framework Programme under the Grant number 318062. The responsibility lies with the authors.

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Authors and Affiliations

  1. Corporate Technology, Research and Technology Center, Siemens AG, Otto-Hahn-Ring 6, 81739, Munich, Germany

    Sonja Zillner

  2. School of International Business and Entrepreneurship, Steinbeis University, Berlin, Germany

    Sonja Zillner

  3. Semantic Technology Institute Innsbruck, University of Innsbruck, Innsbruck, Austria

    Sabrina Neururer

  4. Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria

    Sabrina Neururer

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Correspondence to Sonja Zillner.

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Zillner, S., Neururer, S. Technology Roadmap Development for Big Data Healthcare Applications. Künstl Intell 29, 131–141 (2015). https://doi.org/10.1007/s13218-014-0335-y

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