DocumentCode
3746258
Title
Automated estimation of surgery duration for the optimization of operative rooms´ planning
Author
Antoine Lamer;Julien De Jonckeere;Mathieu Jeanne;Michel Delecroix;Regis Logier
Author_Institution
INSERM CIC 1403, University Hospital of Lille, Maison R?gionale de la Recherche Clinique, 2 avenue Oscar Lambret 59037 Lille, Cedex, France
fYear
2015
Firstpage
1
Lastpage
3
Abstract
At the University Hospital of Lille, the operative rooms´ planning is based on estimated durations of surgery, so that a theoretical time is automatically affected depending on types of surgery independently of surgeons and techniques. As a result, this estimated duration of surgery is not updated, and does not take into account the evolution of surgical techniques or increasing surgeon´s experience. In clinical practice, computing surgery duration for each surgeon and each type of surgery could be time consuming regarding the high number of interventions. In this paper, we assumed that Electronic Health Records can be used to automatically estimate theoretical durations of surgery in order to optimize operative rooms´ scheduling. Finally, we validated our system in the particular context of total hip replacement duration estimation.
Keywords
"Surgery","Data warehouses","Hospitals","Hip","Planning","Anesthesia","Software"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7407153
Filename
7407153
Link To Document