CASEMIX study: Assessment of patient factors influencing the subprocedure duration of trauma/orthopaedic surgeries
A data filtering algorithm-assisted cloud system can be a reliable way to facilitate the planning of operating theater schedules. Patient stratification according to BMI and surgeon years of experience seems to affect intraoperative duration significantly, and the understanding of the risks and intraoperative steps has the potential to forecast surgeries with high precision.
Authors
- T. Kurokawa (ORCID: https://orcid.org/0000-0002-6702-7940)
- László Török (ORCID: https://orcid.org/0000-0001-9287-524X)
- Endre Varga (ORCID: https://orcid.org/0000-0002-7397-2965)
- Victoria Walls
- Ivan Diogo Queiros
- Mais Azaizah
- Matthew Bacon
- Federica Corbo
- Ashish Varughese Mammen
- Yujin Kaneko
Institutions
- University of Szeged (HU)
- TiGenix (Spain) (ES)
Publication Details
- Journal
- Injury
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.injury.2024.111528
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00