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Determinants of Surgical Case On-Time Start and On-Time Finish in Perioperative Services
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Efficient use of the operating room (OR) is crucial for any hospital. One of the major inefficiencies in the OR is surgical cases not starting or finishing on time as scheduled. When a case is delayed, it affects all subsequent cases in that OR. This study uses discrete choice analysis to determine the significant factors, including team familiarity, that influence OR case on-time start and finish. A case is considered on-time if the documented procedure start and finish times are no more than 10 minutes after the scheduled start and finish times. The analysis uses surgical case data from a large tertiary referral hospital and academic center in Greenville, South Carolina. The case data includes all surgical cases (15,091) performed during regular workdays in 2013. Two binary logit models are developed: one for case on-time start and one for case on-time finish. Results indicate that higher team familiarity between surgeon and anesthesiologist, surgeon and circulating nurse, surgeon and scrub nurse, and surgeon and CRNA improve the likelihood of an OR case on-time start and on-time finish. This finding indicates that the OR scheduling staff in the study hospital make a concerted effort to schedule the surgical teams with members who have worked well together in the past.
Title: Determinants of Surgical Case On-Time Start and On-Time Finish in Perioperative Services
Description:
Efficient use of the operating room (OR) is crucial for any hospital.
One of the major inefficiencies in the OR is surgical cases not starting or finishing on time as scheduled.
When a case is delayed, it affects all subsequent cases in that OR.
This study uses discrete choice analysis to determine the significant factors, including team familiarity, that influence OR case on-time start and finish.
A case is considered on-time if the documented procedure start and finish times are no more than 10 minutes after the scheduled start and finish times.
The analysis uses surgical case data from a large tertiary referral hospital and academic center in Greenville, South Carolina.
The case data includes all surgical cases (15,091) performed during regular workdays in 2013.
Two binary logit models are developed: one for case on-time start and one for case on-time finish.
Results indicate that higher team familiarity between surgeon and anesthesiologist, surgeon and circulating nurse, surgeon and scrub nurse, and surgeon and CRNA improve the likelihood of an OR case on-time start and on-time finish.
This finding indicates that the OR scheduling staff in the study hospital make a concerted effort to schedule the surgical teams with members who have worked well together in the past.
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