Analysis of time segment data for proper perioperative entry and exit management in the operating room

Abstract

Recently, we medical institutions have aimed to develop efficient operating room management. The aim is to maintain well-organized and stable administration and deliver high-quality medical treatment and nursing to patients. This study aimed to clarify the correlation between operation and anesthesia time division and operation- and anesthesia-region factors. We included 4,614 patients who underwent elective surgeries at Nagasaki Medical Center from January 1 to December 31, 2018.
The mean (SD) transfer time from ward nurses to operating room nurses was 6.2 (3.5) minutes. Time division from operation room entrance to the start of the operation differed by diagnosis, treatment department and anesthesia procedure. There was a significant correlation between the time of induction of anesthesia and the time of preparation for surgery performed from the time of admission to the start of surgery and the use of anesthesia (local anesthesia, epidural anesthesia, spinal subarachnoid anesthesia, intravenous anesthesia, general anesthesia, and conduction anesthesia), operative position (supine position and lateral position), epidural catheter insertion, peripheral fluid line, arterial line, central venous catheter insertion, ultrasound diagnostic equipment, mobile fluoroscopy equipment, and surgical navigation unit. By analyzing the factors in the operation and anesthesia area and obtaining a regression equation, it became possible to estimate the time required for anesthesia induction and surgery preparation. Furthermore, by analyzing the factors in the operation and anesthesia area and obtaining a regression equation, it became possible to estimate the time required for anesthesia induction and surgery preparation. In this study, there was a correlation between operation- and anesthesia-region factors in the effect on time division in the operating room. Efficient management can be attempted by carrying out daily operation scheduling and system construction based on it.