An ADS （automated dispensing system） was implemented in our hospital pharmacy in 2008 to optimize and secure the medication process. The main objective of this study was to compare the projected and the real ROI （r...An ADS （automated dispensing system） was implemented in our hospital pharmacy in 2008 to optimize and secure the medication process. The main objective of this study was to compare the projected and the real ROI （return on investment）, after seven years of use. ROI was calculated annually （from 2008 to 2015）, by deducting the cost of investment （ADS buying and implementation, maintenance, repairs and ADS upgrade） from the cost saving （drugs stock reduction and decrease of pharmacy staff dedicated to global dispensing）. In 2015, total costs saving （＋$1,141,987） were divided between decreasing drug stock value and reduction of pharmacy staff. Total costs of investment （-$978,656） were acquisition, maintenance, repairs and an unplanned upgrade costs. Finally, the real ROI was ＋$163,331 after seven years of use. In 2008, projected ROI was ＋$410,786. The real payback period has been increased by approximately two years （six years of use, instead of four years as expected）. Despite their cost, ADSs are a worthwhile investment, leading to a ROI within a few years. These economic considerations should be put into perspective with optimization of drugs stock management, greater efficiency of the global dispensing process, securitization of medication process and redeployment of pharmacy staff.展开更多
Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment mo...Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.展开更多
文摘An ADS （automated dispensing system） was implemented in our hospital pharmacy in 2008 to optimize and secure the medication process. The main objective of this study was to compare the projected and the real ROI （return on investment）, after seven years of use. ROI was calculated annually （from 2008 to 2015）, by deducting the cost of investment （ADS buying and implementation, maintenance, repairs and ADS upgrade） from the cost saving （drugs stock reduction and decrease of pharmacy staff dedicated to global dispensing）. In 2015, total costs saving （＋$1,141,987） were divided between decreasing drug stock value and reduction of pharmacy staff. Total costs of investment （-$978,656） were acquisition, maintenance, repairs and an unplanned upgrade costs. Finally, the real ROI was ＋$163,331 after seven years of use. In 2008, projected ROI was ＋$410,786. The real payback period has been increased by approximately two years （six years of use, instead of four years as expected）. Despite their cost, ADSs are a worthwhile investment, leading to a ROI within a few years. These economic considerations should be put into perspective with optimization of drugs stock management, greater efficiency of the global dispensing process, securitization of medication process and redeployment of pharmacy staff.
基金Supported by the High Technology Research and Development Program of China(No.2008AA01A201)National High Technology Research,Development Plan of China (No.2006AA01A103)the High Technology Research and Development Program of China(No.2009AA01A404)
文摘Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture(SA) based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.
