Liaw Siaw-Teng
University of New South Wales and South West Sydney Area Health Service General Practice Unit, Fairfield Hospital, Sydney.
Stud Health Technol Inform. 2013;193:362-9.
This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. The scope of DQM & IG should range from data creation and collection in clinical settings, through cleaning and, where obtained from multiple sources, linkage, storage, use by the EDS logic engine and algorithms, knowledge base and guidance provided, to curation and presentation. It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.
本章探讨电子决策支持（EDS）系统的数据质量管理（DQM）和信息治理（IG），以便这些系统安全可靠，供临床医生、患者及其护理人员使用。这与ISO对数据质量“适用目的”的定义一致。DQM和IG的范围应涵盖临床环境中的数据创建和收集、清理，以及从多个来源获取数据时的链接、存储、EDS逻辑引擎和算法的使用、知识库和提供的指南，直至管理和呈现。它还必须包括监测EDS安全性的协议和机制，这些将反馈到DQM和IG活动中。最终必须在整个数据周期中整合DQM和IG，以确保EDS系统提供的指南能促成安全有效的临床决策和护理。
