Constraint programming based techniques for medical resources optimization: medical internships planning

作     者：Benamrane, Amine Benelallam, Imade Bouyakhf, El Houssine 

作者机构：Mohammed V Univ Rabat LIMIARF Fac Sci Rabat Morocco Natl Inst Stat & Appl Econ Irfane INSEA Rabat Morocco 

出 版 物：《JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING》 (情境智能与人性化计算杂志)

年 卷 期：2020年第11卷第9期

页      面：3801-3810页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0701[理学-数学] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Constraint optimization Constraint modeling Multi-objective optimization Medical internships planning 

摘      要：Hospital internships are the most essential and important component of any medical training to acquire and develop different clinical skills. The main management issue related to this point is the allocation of internship students to different services undergoing several logistical and pedagogical constraints during the hospital university calendar. In this paper, we show how we can use Constraint Programming design to model and solve this problem through the Constraint Satisfaction Problems (CSP). Then, we propose an extended model (Constraint Optimization model) to cover the limitations of the CSP model and find the optimal scheduling taking in account students preferences. Finally, we show that using several What-If scenarios can help to suggest and recommend to decision makers some adjustments to the problem inner rules to get the optimal solution.