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Erschienen in: Journal of Medical Systems 2/2014

01.02.2014 | Research Article

Variability of Subspecialty-Specific Anesthesia-Controlled Times at Two Academic Institutions

verfasst von: Bhavani Shankar Kodali, K. Dennie Kim, Hugh Flanagan, Jesse M. Ehrenfeld, Richard D. Urman

Erschienen in: Journal of Medical Systems | Ausgabe 2/2014

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Abstract

Realistic scheduling of operating room cases decreases costs, optimizes utilization and improves staff and patient satisfaction. Currently limited data exists to establish anesthesia-controlled time benchmarks based on specific subspecialty service. In this multicenter retrospective analysis of cases performed during a 53 month period at two large multispecialty academic institutions, data were retrieved from the perioperative information systems at each center. Both induction and emergence times were calculated. We then determined mean and median anesthesia controlled times based on each subspecialty service and compared them to previously published anesthesia-controlled time data. We obtained data on 104,184 cases at hospital A, and 122,560 cases at Hospital B. For all specialties at hospital A and hospital B, median induction time was 16.0 min and 17.0 min, emergence time was 14.0 and 8.0 min, and total anesthesia controlled time was 31.0 min and 27.0 min respectively. There was considerable variability among different surgical specialties deviating from the previously established 30 min benchmark. Subspecialties with lower total anesthesia controlled times in both centers were pain, general surgery, gynecology, plastic surgery and urology. Subspecialties with higher total anesthesia controlled times in both centers included cardiac surgery, neurosurgery, transplant and vascular. Cardiac surgery had the highest total time of 60 min and 50 min at Hospital A and B respectively. Individual specialty-specific anesthesia controlled times should be used for case scheduling and to benchmark anesthesia performance.
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Metadaten
Titel
Variability of Subspecialty-Specific Anesthesia-Controlled Times at Two Academic Institutions
verfasst von
Bhavani Shankar Kodali
K. Dennie Kim
Hugh Flanagan
Jesse M. Ehrenfeld
Richard D. Urman
Publikationsdatum
01.02.2014
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 2/2014
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-014-0011-7

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