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
For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a humanrobot collab...For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a humanrobot collaboration scenario,the safety of human,robot,and equipment in the environment is paramount.In this work,a practical and effective robot motion planning method is proposed for dynamic unstructured environments.To figure out the problems of blind zones of single depth sensor and dynamic obstacle avoidance,we first propose a method for establishing offline mapping and online fusion of multi-sensor depth images and 3D grids of the robot workspace,which is used to determine the occupation states of the 3D grids occluded by robots and obstacles and to conduct real-time estimation of the minimum distance between the robot and obstacles.Then,based on the reactive control method,the attractive and repulsive forces are calculated and transformed into robot joint velocities to avoid obstacles in real time.Finally,the robot’s dynamic obstacle avoidance ability is evaluated on an experimental platform with a UR5 robot and two KinectV2 RGB-D sensors,and the effectiveness of the proposed method is verified.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the Interdisciplinary Program of Shanghai Jiao Tong University(No.YG2019QNA25)。
文摘For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a humanrobot collaboration scenario,the safety of human,robot,and equipment in the environment is paramount.In this work,a practical and effective robot motion planning method is proposed for dynamic unstructured environments.To figure out the problems of blind zones of single depth sensor and dynamic obstacle avoidance,we first propose a method for establishing offline mapping and online fusion of multi-sensor depth images and 3D grids of the robot workspace,which is used to determine the occupation states of the 3D grids occluded by robots and obstacles and to conduct real-time estimation of the minimum distance between the robot and obstacles.Then,based on the reactive control method,the attractive and repulsive forces are calculated and transformed into robot joint velocities to avoid obstacles in real time.Finally,the robot’s dynamic obstacle avoidance ability is evaluated on an experimental platform with a UR5 robot and two KinectV2 RGB-D sensors,and the effectiveness of the proposed method is verified.
