数据挖掘技术在医院管理中的应用

Use of data mining technology in hospital management

数据挖掘技术可为医院管理者提供更高层次的数据分析功能,为医院制定竞争策略提供有力的技术支持。作者明确了数据挖掘中的数据抽取、分类发现、聚类及关联规则等4项任务,介绍了数据挖掘的常用方法,指出数据挖掘技术在医疗质量管理、门急诊管理、病区管理、医院资源配置及医院经济管理中具有广泛的应用性,提出随着信息技术广泛而深入的应用,医院管理水平将得到显著地提高。

Data mining technology can provide higher-level data analysis functions to hospital managers and offer strong technical support to the formulation of competitive strategies by the hospital. The authors identify four data mining tasks, viz. data sampling, classification, clustering and association rules and give an account of the methods frequently used in data mining. They point out that data mining technology has wide applicability in medical quality control, outpatient and emergency care control, ward control, hospital resources allocation and hospital economic management. They argue that with the wide and further application of information technology, hospital management will move to a significantly higher level.