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Erscheinungsjahr: 
2024
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[Journal:] Health Care Management Science [ISSN:] 1572-9389 [Volume:] 27 [Issue:] 3 [Publisher:] Springer US [Place:] New York [Year:] 2024 [Pages:] 328-351
Verlag: 
Springer US, New York
Zusammenfassung: 
Abstract We present a freely available data set of surgical case mixes and surgery process duration distributions based on processed data from the German Operating Room Benchmarking initiative. This initiative collects surgical process data from over 320 German, Austrian, and Swiss hospitals. The data exhibits high levels of quantity, quality, standardization, and multi-dimensionality, making it especially valuable for operating room planning in Operations Research. We consider detailed steps of the perioperative process and group the data with respect to the hospital’s level of care, the surgery specialty, and the type of surgery patient. We compare case mixes for different subgroups and conclude that they differ significantly, demonstrating that it is necessary to test operating room planning methods in different settings, e.g., using data sets like ours. Further, we discuss limitations and future research directions. Finally, we encourage the extension and foundation of new operating room benchmarking initiatives and their usage for operating room planning.
Schlagwörter: 
Surgical Process Data
Data analysis
German Perioperative Procedural Time Glossary
Operating Room Benchmarking Initiative
Operating Room Planning
Operations Research
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