National Taiwan University, Taipei, Taiwan.
J Med Syst. 2012 Aug;36(4):2565-75. doi: 10.1007/s10916-011-9729-7. Epub 2011 May 17.
Medical resources are important and necessary in health care. Recently, the development of methods for improving the efficiency of medical resource utilization is an emerging problem. Despite evidence supporting the use of order sets in hospitals, only a small number of health information systems have successfully equipped physicians with analysis of complex order sequences from clinical pathway and clinical guideline. This paper presents a data-mining framework for transnational healthcare system to find alternative practices, including transfusion, pre-admission tests, and evaluation of liver diseases. However, individual countries vary with respect to geographical location, living habits, and culture, so disease risks and treatment methods also vary across countries. To realize the difference, a service-oriented architecture and cloud-computing technology are applied to analyze these medical data. The validity of the proposed system is demonstrated in including Taiwan and Mongolia, to ensure the feasibility of our approach.
医疗资源在医疗保健中非常重要且必不可少。最近，提高医疗资源利用效率的方法的发展是一个新兴问题。尽管有证据支持在医院中使用医嘱集，但只有少数健康信息系统成功地为医生配备了从临床路径和临床指南中分析复杂医嘱序列的功能。本文提出了一个用于跨国医疗保健系统的数据挖掘框架，以发现替代实践，包括输血、入院前检查和肝脏疾病评估。然而，由于地理位置、生活习惯和文化的不同，各个国家的疾病风险和治疗方法也存在差异。为了实现这种差异，应用了面向服务的体系结构和云计算技术来分析这些医疗数据。该系统在包括台湾和蒙古在内的地区得到了验证，以确保我们方法的可行性。
