{"references": ["Pedron, S., Winter, V., Oppel, E.-M., & Bialas, E. (2017). Operating Room Efficiency before and after Entrance in a Benchmarking Program for Surgical Process Data. Journal of Medical Systems, 41(10), 151. https://doi.org/10.1007/s10916-017-0798-0", "Leeftink, G., & Hans, E. W. (2018). Case mix classification and a benchmark set for surgery scheduling. Journal of Scheduling, 21(1), 17\u201333. https://doi.org/10.1007/s10951-017-0539-8", "Bauer, M., Auhuber, T. C., Kraus, R., R\u00fcggeberg, J., Wardemann, K., M\u00fcller, P., Taube, C., Diemer, M., & Schuster, M. (2020). The German Perioperative Procedural Time Glossary. A joint recommendation by the BDA, BDC, VOPM, VOPM\u00d6, \u00d6GARI and SFOPM. An\u00e4sth Intensivmed, 61, 516\u2013531. https://doi.org/10.19224/ai2020.516", "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. Research-in-Progress Papers. https://aisel.aisnet.org/ecis2017_rip/33", "Dexter, F., Dexter, E. U., & Ledolter, J. (2010). Influence of procedure classification on process variability and parameter uncertainty of surgical case durations. Anesthesia and Analgesia, 110(4), 1155\u20131163. https://doi.org/10.1213/ANE.0B013E3181D3E79D"]}

The data set consists of parameters of distributions of perioperative surgical process durations in German hospitals subdivided by the level of care, the surgical specialty, patient type (in- or outpatient), and the procedure’s main OPS code. We consider the following processes: anesthesia induction time, anesthesia emergence time, surgical lead-in, incision-to-closure time, surgical lead-out, and closure-to-incision time (as described in the German Perioperative Procedural Time Glossary). In addition, we provide the number of cases (classified by the procedure’s main OPS code) treated in one year per level of care, surgical specialty, and patient type (in- or outpatient). The supplied data set is the result of processing the 2019 surgical process data set from the Operating Room benchmarking program of German-speaking countries provided by the company digmed GmbH. In total, we considered 2,035,126 recorded surgeries from 212 different hospitals. The data set was created and published to facilitate and promote research on Operating Room planning in the field of Operations Research. It can be used for generating specific problem instances or benchmark sets for Operating Room planning problems.