Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a...Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a quality improvement tools）. Data were collected before and after the implementation of PDCA-cycle. The results were analyzed. Results： After implementation of PDCA-cycle, over all time-out compliance rate was increased from 80% to 99.8% （P=0.000）. The compliance rate of identifying patient, performing site marking before surgery, verification of correct-site and correct procedure were increased from 85.1%, 79.2%, 89.7% and 89.1% to 99.8%, 99.9%, 100% and 100% （P〈0.05） respectively. Conclusion： Our study validated the PDCA-cycle methodology improves time-out compliance rate, and it is one of the most effective quality improvement tools for hospital management.展开更多
This paper discusses the distinction between internetworks and single network in the congestion control. It has shown the reason why all of single network’s congestion control is not suitable to internetworks. A new ...This paper discusses the distinction between internetworks and single network in the congestion control. It has shown the reason why all of single network’s congestion control is not suitable to internetworks. A new congestion control scheme of internetworks is presented which uses acknowledgment time-outs and the feedback signal from gateway as indications of packet loss and congestion. Using a black-box model of the internetworks, this paper derives approximate calculating formulas and proves the scheme’s special characters by computer simulation. It is shown that the presented method is better than R. Jain’s (1986).展开更多
文摘Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a quality improvement tools）. Data were collected before and after the implementation of PDCA-cycle. The results were analyzed. Results： After implementation of PDCA-cycle, over all time-out compliance rate was increased from 80% to 99.8% （P=0.000）. The compliance rate of identifying patient, performing site marking before surgery, verification of correct-site and correct procedure were increased from 85.1%, 79.2%, 89.7% and 89.1% to 99.8%, 99.9%, 100% and 100% （P〈0.05） respectively. Conclusion： Our study validated the PDCA-cycle methodology improves time-out compliance rate, and it is one of the most effective quality improvement tools for hospital management.
文摘This paper discusses the distinction between internetworks and single network in the congestion control. It has shown the reason why all of single network’s congestion control is not suitable to internetworks. A new congestion control scheme of internetworks is presented which uses acknowledgment time-outs and the feedback signal from gateway as indications of packet loss and congestion. Using a black-box model of the internetworks, this paper derives approximate calculating formulas and proves the scheme’s special characters by computer simulation. It is shown that the presented method is better than R. Jain’s (1986).
