The concept ＂panic value＂ （or critical value） was first brought tip by American scholar Lundberg in 1972. It refers to the results of auxiliary examinations that are widely deviating from normal or anticipated res...The concept ＂panic value＂ （or critical value） was first brought tip by American scholar Lundberg in 1972. It refers to the results of auxiliary examinations that are widely deviating from normal or anticipated results. The occurrence of these abnomaal results shows that patients could be in a dangerous situation that their lives might be threatened. If clinicians are able to get the information in time and provide the patients with effective interventions or treatments promptly, lives could be saved. Otherwise, there could be serious consequences and the best opportunities for rescuing the patients might be missing The management of panic value is an important component of medical quality management, as the National Health and Family Planning Commission has clearly defined in the ＂patient safety goals＂ for several consecutive years. In countries such as America, Australia as well as Gennany, the management of panic value has also been greatly emphasized and was been included in various hospital assessments.展开更多
Aiming at the limitations of the traditional mathematical model for production planning, a novel optimization model is proposed to improve the efficiency and performance for production planning in steelmaking and cont...Aiming at the limitations of the traditional mathematical model for production planning, a novel optimization model is proposed to improve the efficiency and performance for production planning in steelmaking and continuous casting （SCC） process. The optimization model combined with parallel-backward inferring algorithm and genetic algorithm is described. To analyze and evaluate the production plans, a simulation model based on cellular automata is presented. And then, the integrated system including the production plan optimization model and the simulation model is introduced to evaluate and adjust the production plan on-line. The test with production data in a steel plant shows that the optimization model demonstrates ability to deal with time uncertainty in production planning and to set up a conflict-free production plan, and the integrated system provides a useful tool for dynamically drawing and adjusting a production plan on-line. The average staying time of the production plan is about 5% shorter than that in a practical process.展开更多
文摘The concept ＂panic value＂ （or critical value） was first brought tip by American scholar Lundberg in 1972. It refers to the results of auxiliary examinations that are widely deviating from normal or anticipated results. The occurrence of these abnomaal results shows that patients could be in a dangerous situation that their lives might be threatened. If clinicians are able to get the information in time and provide the patients with effective interventions or treatments promptly, lives could be saved. Otherwise, there could be serious consequences and the best opportunities for rescuing the patients might be missing The management of panic value is an important component of medical quality management, as the National Health and Family Planning Commission has clearly defined in the ＂patient safety goals＂ for several consecutive years. In countries such as America, Australia as well as Gennany, the management of panic value has also been greatly emphasized and was been included in various hospital assessments.
基金Item Sponsored by National High-Tech Research and Development Plan of China(2007AA04Z161)
文摘Aiming at the limitations of the traditional mathematical model for production planning, a novel optimization model is proposed to improve the efficiency and performance for production planning in steelmaking and continuous casting （SCC） process. The optimization model combined with parallel-backward inferring algorithm and genetic algorithm is described. To analyze and evaluate the production plans, a simulation model based on cellular automata is presented. And then, the integrated system including the production plan optimization model and the simulation model is introduced to evaluate and adjust the production plan on-line. The test with production data in a steel plant shows that the optimization model demonstrates ability to deal with time uncertainty in production planning and to set up a conflict-free production plan, and the integrated system provides a useful tool for dynamically drawing and adjusting a production plan on-line. The average staying time of the production plan is about 5% shorter than that in a practical process.
