Liu Tongzhu, Shen Aizong, Hu Xiaojian, Tong Guixian, Gu Wei
School of Management, Hefei University of Technology, Hefei, PR China.
Division of Medical Engineering, Anhui Provincial Hospital, Hefei, PR China.
Iran J Public Health. 2017 Jun;46(6):744-754.
We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model.
We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process.
For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management.
Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.
我们旨在将协作式商业智能（BI）系统应用于医院供应、处理与配送（SPD）物流管理模式。
我们在工程村数据库、中国知网（CNKI）以及谷歌上搜索了2011年至2016年发表的文章、书籍、网页等，以了解SPD和BI相关理论及近期研究现状。对于协作式BI技术在医院SPD物流管理模式中的应用，我们通过利用数据挖掘技术从复杂数据中发现知识以及利用协作技术改进业务流程理论来实现。
对于BI系统的应用，我们：（i）提出了用于医院物流智能管理的协作式BI系统分层结构；（ii）为协作式BI系统构建了数据仓库；（iii）改进了诸如支持向量机（SVM）和群体智能萤火虫算法等数据挖掘技术，以解决医院物流协作式BI系统中的关键问题；（iv）研究了面向数据和业务流程优化的协作技术，以改进医院物流管理的业务流程。
SPD模式与BI系统的恰当结合将改善医院的物流管理。该研究的成功实施需要：（i）创新和改进传统的SPD模式，并根据医院实际情况为BI系统的应用制定适当的实施计划和时间表；（ii）医院内部各部门包括信息、物流、护理、医疗和财务部门的协作参与；（iii）外部供应商的及时响应。
