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Stud Health Technol Inform · Jan 2013
Clinical decision support systems: data quality management and governance.
- Siaw-Teng Liaw.
- University of New South Wales and South West Sydney Area Health Service General Practice Unit, Fairfield Hospital, Sydney.
- Stud Health Technol Inform. 2013 Jan 1; 193: 362-9.
AbstractThis 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.
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