title: An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings.
abstract: BACKGROUND
  Increasing investment in eHealth aims to improve cost effectiveness and safety of care. Data extraction and aggregation can create new data products to improve professional practice and provide feedback to improve the quality of source data. A previous systematic review concluded that locally relevant clinical indicators and use of clinical record systems could support clinical governance. We aimed to extend and update the review with a theoretical framework.
  
  
  METHODS
  We searched PubMed, Medline, Web of Science, ABI Inform (Proquest) and Business Source Premier (EBSCO) using the terms curation, information ecosystem, data quality management (DQM), data governance, information governance (IG) and data stewardship. We focused on and analysed the scope of DQM and IG processes, theoretical frameworks, and determinants of the processing, quality assurance, presentation and sharing of data across the enterprise.
  
  
  RESULTS
  There are good theoretical reasons for integrated governance, but there is variable alignment of DQM, IG and health system objectives across the health enterprise. Ethical constraints exist that require health information ecosystems to process data in ways that are aligned with improving health and system efficiency and ensuring patient safety. Despite an increasingly 'big-data' environment, DQM and IG in health services are still fragmented across the data production cycle. We extend current work on DQM and IG with a theoretical framework for integrated IG across the data cycle.
  
  
  CONCLUSIONS
  The dimensions of this theory-based framework would require testing with qualitative and quantitative studies to examine the applicability and utility, along with an evaluation of its impact on data quality across the health enterprise.
authors.affiliation: School of Public Health & Community Medicine, UNSW Medicine and General Practice Unit, South Western Sydney Local Health District, Australia; Academic General Practice Unit, Fairfield Hospital, Cnr of Polding Street and Prairievale Road, Prairiewood, NSW 2176, Australia. siaw@unsw.edu.au.
authors.forename: Siaw-Teng
authors.initials: ST
authors.lastname: Liaw
authors.affiliation: Inner Eastern Medicare Local, Melbourne, Australia.
authors.forename: Christopher
authors.initials: C
authors.lastname: Pearce
authors.affiliation: Department of Primary Care & Clinical Informatics, University of Surrey, Guildford, UK.
authors.forename: Harshana
authors.initials: H
authors.lastname: Liyanage
authors.affiliation: ZxCel Consulting, Melbourne, Australia.
authors.forename: Gladys S S
authors.initials: GS
authors.lastname: Liaw
authors.affiliation: Department of Primary Care & Clinical Informatics, University of Surrey, Guildford, UK.
authors.forename: Simon
authors.initials: S
authors.lastname: de Lusignan
mesh_terms: D003363:Cost Control / Q000379:methods; D016206:Databases, Bibliographic; D006801:Humans; D008490:Medical Informatics / Q000191:economics / Q000458:organization & administration* / Q000592:standards; D011785:Quality Assurance, Health Care / Q000191:economics / Q000458:organization & administration* / Q000592:standards; D012107:Research Design / Q000592:standards / Q000706:statistics & numerical data; D018511:Systems Integration; D017216:Telemedicine / Q000191:economics / Q000458:organization & administration* / Q000592:standards