Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks

In a master surgery scheduling (MSS) problem, a hospital's operating room (OR) capacity is assigned to different medical specialties. This task is critical since the risk of assigning too much or too little OR time to a specialty is associated with overtime or deficit hours of the staff, deferral or delay of surgeries, and unsatisfied—or even endangered—patients. Most MSS approaches in the literature focus only on the OR while neglecting the impact on downstream units or reflect a simplified version of the real‐world situation. We present the first prediction model for the integrated OR scheduling problem based on machine learning. Our three‐step approach focuses on the intensive care unit (ICU) and reflects elective and urgent patients, inpatients and outpatients, and all possible paths through the hospital. We provide an empirical evaluation of our method with surgery data for Universitätsklinikum Augsburg, a German tertiary care hospital with 1700 beds. We show that our model outperforms a state‐of‐the‐art model by 43% in number of predicted beds. Our model can be used as supporting tool for hospital managers or incorporated in an optimization model. Eventually, we provide guidance to support hospital managers in scheduling surgeries more efficiently.     

从德育的人文关怀角度谈高校生命道德教育的建构

道德教育的出发点,应建立在对个体生命的理解与尊重的基础上,这是以人为本的教育价值观的体现。但是我国的德育缺乏了对生命主题的关注。本文试图从德育的人文关怀角度来反思高校的生命道德教育,并提出了相应的对策和建议。     

Scheduling patients in an ambulatory surgical center

This paper presents a deterministic approach to schedule patients in an ambulatory surgical center (ASC) such that the number of postanesthesia care unit nurses at the center is minimized. We formulate the patient scheduling problem as new variants of the no‐wait, two‐stage process shop scheduling problem and present computational complexity results for the new scheduling models. Also, we develop a tabu search‐based heuristic algorithm to solve the patient scheduling problem. Our algorithm is shown to be very effective in finding near optimal schedules on a set of real data from a university hospital's ASC. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

社会工作视阈下少数民族大学生思想政治教育的思考

少数民族大学生既具有一般大学生的时代特征,又包含民族特色,思想政治教育工作需要进一步创新和完善机制予以应对。作为一种专业的助人服务活动,社会工作的价值观和方法可以融入到少数民族大学生思想政治教育工作中,使其更加凸显人文关怀,切实提高工作的针对性、主动性和实效性,在教育的理念、对象、内容、方式方法和环境等方面获得一定的创新。     

广告传播中的人文关怀及其发展趋向探析

人文关怀是广告传播中受众心理接受的基础条件,广告传播中的人文关怀具有向人们传达人生哲学观念和精神诉求的现代意义。消费文化的社会环境要求我们必须重视广告传播中的人文关怀状况,重视广告传播担负的社会责任,使广告真正成为社会文化建设中的一个有机部分,以建立正确的社会价值观和促进社会主义和谐社会的健康发展。论文从广告的题材选择、诉求角度和表现方式几方面分析了广告中人文关怀的传播特色,并着重论述了广告中人文关怀的发展趋向。