The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant p...The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant potential to improve the quality of medical care. In particular, patient-centric health monitoring plays a vital role in e-healthcare service, involving a set of important operations ranging from medical data collection and aggregation, data transmission and segregation, to data analytics. This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components. More detailed discussions are then devoted to {／em data collection} at patient side, which we argue that it serves as fundamental basis in achieving robust, efficient, and secure health monitoring. Subsequently, a profound discussion of the security threats targeting eHealth monitoring systems is presented, and the major limitations of the existing solutions are analyzed and extensively discussed. Finally, a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes, along with some potential solutions.展开更多
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
基金supported,in part,by Science Foundation Ireland grant 10/CE/I1855 to Lero -the Irish Software Engineering Research Centre(www.lero.ie)
文摘The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant potential to improve the quality of medical care. In particular, patient-centric health monitoring plays a vital role in e-healthcare service, involving a set of important operations ranging from medical data collection and aggregation, data transmission and segregation, to data analytics. This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components. More detailed discussions are then devoted to {／em data collection} at patient side, which we argue that it serves as fundamental basis in achieving robust, efficient, and secure health monitoring. Subsequently, a profound discussion of the security threats targeting eHealth monitoring systems is presented, and the major limitations of the existing solutions are analyzed and extensively discussed. Finally, a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes, along with some potential solutions.
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.
