J Med Syst - Variability of subspecialty-specific anesthesia-controlled times at two academic institutions.

Tópicos

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Resumo

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.

Resumo Limpo

realist schedul oper room case decreas cost optim util improv staff patient satisfact current limit data exist establish anesthesiacontrol time benchmark base specif subspecialti servic multicent retrospect analysi case perform month period two larg multispecialti academ institut data retriev periop inform system center induct emerg time calcul determin mean median anesthesia control time base subspecialti servic compar previous publish anesthesiacontrol time data obtain data case hospit case hospit b specialti hospit hospit b median induct time min min emerg time min total anesthesia control time min min respect consider variabl among differ surgic specialti deviat previous establish min benchmark subspecialti lower total anesthesia control time center pain general surgeri gynecolog plastic surgeri urolog subspecialti higher total anesthesia control time center includ cardiac surgeri neurosurgeri transplant vascular cardiac surgeri highest total time min min hospit b respect individu specialtyspecif anesthesia control time use case schedul benchmark anesthesia perform

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