Innovative, data-driven efficiency of hospital processes within and beyond the operation room

Operating rooms (ORs) are often focal organizational islands in the hospital, which require a strong alignment of hospital processes with the OR processes. This focal role can lead to considerable deficiencies in quality, efficiency, and effectiveness of the upstream and downstream processes. In particular, logistics processes are often managed locally withouth taken the actors, resources, and tasks of other units into account. A novel approach to improve process performance is intelligent, data-driven process management within and beyond the operating room. In the three-year project InnOPlan, we developed data-driven models and tools that can assist the management of logistics processes around the OR. Specifically, we focused on process representation, data-driven process analysis, and intelligent prediction models. We evaluated their usefulness and efficacy in simulation experiments complemented by extensive field work.

Researcher: Stefan Kirn, Achim Klein, Marc Premm, Martin Riekert

Selected Publications:

• Riekert, M., Premm, M., Klein, A., Kirilov, L., Kenngott, H., Apitz, M., Wagner, M., & Ternes, L. (2017). Predicting the duration of surgeries to improve process efficiency in hospitals. In Proceedings of the 25th European Conference on Information Systems (ECIS 2017). Guimaraes, Portugal.
• Premm, M., Riekert, M., Klein, A., & Kirn, S. (2017). Modelling processes in fractalized hospitals with multiagent systems and data analytics. In Proceedings of the 9th International Symposium on eHealth Services and Technology (EHST 2015). Rhodos, Greece.
• Wagner, M., Ternes, L. M., Apitz, M., Rempel, R., Schneider, G., Riekert, M., Klein, A., Bergh, B., Müller-Stich, B. P., & Kenngott, H. G. (2015)- Towards data-driven analysis of perioperative surgical treatment processes. In Proceedings der 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC 2015). Bremen, Germany.