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International Conference on Business Information Systems

BIS 2016: Business Information Systems Workshops pp 379–388Cite as

Development of an Information System Architecture for Online Surgery Scheduling

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

Abstract

This work presents the current state of a PhD thesis about optimizing decision-making in operating room management with an integrated information systems architecture for a decision support system. A design-science research approach is used to develop an architecture that fills the gap for operational decision support by integrating data sources, decision support models and real-time information. After identifying the current state-of-the-art in operational decision support systems, a requirements analysis was started. The first results lead to an architecture in development status. Future work will complete requirements and architecture model and further in a prototypical implementation for evaluation.

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Acknowledgement

This work was funded by the German Federal Ministry of Education and Research within the project Competence Center for Scalable Data Services and Solutions (ScaDS) Dresden/Leipzig (BMBF 01IS14014B) and by the German Federal Ministry of Economic Affairs and Energy within the project InnOPlan (BMWI 01MD15002E).

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Authors and Affiliations

  1. Information Systems Institute, Leipzig University, Grimmaische Straße 12, 04109, Leipzig, Germany

    Norman Spangenberg

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  1. Norman Spangenberg
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Correspondence to Norman Spangenberg .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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Spangenberg, N. (2017). Development of an Information System Architecture for Online Surgery Scheduling. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_35

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