An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings

Siaw-Teng Liaw, Christopher Pearce, Harshana Liyanage, Gladys SS Cheah-Liaw, Simon de Lusignan


Introduction 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.

Findings 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.


big data; data quality; electronic health records; information; integration; governance; organisation; clinical

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National Health & Hospital Reform Commission. A Healthier Future For All Australians – Final Report of the National Health and Hospitals Reform Commission–June 2009. Canberra: Commonwealth of Australia, 2009.

Commonwealth of Australia. National Collaborative Research Infrastructure Strategy. Canberra 2006. Available from:

de Lusignan S and Chan T. The development of primary care information technology in the United Kingdom. The Journal of Ambulatory Care Management 2008;31(3):201–10. Available from: PMid:18574377.

Pearce C, Shearer M, Gardner K and Kelly J. A division’s worth of data. Australian Family Physician 2011;40(3):167–70. PMid:21597524.

Goetz T. Sergey Brin’s Search for a Parkinsons Cure. Wired Magazine, 22 June 2010. Available from:

Boyd D and Crawford K. Six provocations for big data. A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society. Oxford Internet Institute, 2011.

Stewart W, Shah N, Seina M, Paulus R and Walker J. Bridging the inferential gap: the electronic health record and clinical evidence. Health Affairs (MIllwood) 2007;26(2):w181–91. Available from:

Phillips C, Pearce C, Hall S, Travaglia J, de Lusignan S, Love T, et al. Can clinical governance deliver quality improvement in Australian general practice and primary care? A systematic review of the evidence. The Medical Journal of Australia 2010;193(10):602–7. PMid:21077818.

Thiru K, Hassey A and Sullivan F. Systematic review of scope and quality of electronic patient record data in primary care. British Medical Journal 2003;326(7398):1070–4. doi: 10.1136/bmj.326.7398.1070.

de Lusignan S, Liaw S, Krause P, Curcin V, Vicente M, Michalakidis G, et al. Key concepts to assess the readiness of data for International research: data quality, lineage and provenance, extraction and processing errors, traceability, and curation. IMIA Yearbook of Medical Informatics. Netherlands: IOS Press BV, 2011, 112–21. PMid:21938335

Weick K. The Impermanent Organisation. Chichester, UK: Wiley, 2009.

Greenhalgh T, Russell J, Ashcroft R and Parsons W. Why national eHealth programs need dead philosophers: Wittgensteinian reflections on policymakers reluctance to learn from history. Millbank Quarterly 2011;89(4).

Berg M. Patient care information systems and health care work: a sociotechnical approach. International Journal of Medical Informatics 1999;55(2):87–101. Available from:

Berg M, Aarts J and van der Lei J. ICT in health care: sociotechnical approaches. Methods of Information in Medicine 2003;42(4):297–301. PMid:14534625.

Ciborra C. Hospitality and IT. Amsterdam: Universiteit van Amsterdam, 1999.

Best A, Greenhalgh T, Lewis S, Saul J, Carroll S and Bitz J. Large-system transformation in health care: a realist review. Millbank Quarterly 2012;90(3):421–56. Available from: PMid:22985277; PMCid:PMC3479379.

Greenhalgh T, Voisey C and Robb N. Interpreted consultations as ‘business as usual’? An analysis of organisational routines in general practices. Sociology of Health & Illness 2007;29(6): 931–54. Available from: PMid:17986023.

Pawson R and Tilley N. Evidence-Based Policy: A Realist Perspective. London: Sage, 2006.

Ciborra C. Hospitality and IT. Amsterdam: Universiteit van Amsterdam, 1999.

Habermas J. The Theory of Communcative Action v2; Lifeworld and System: A Critique of Functionalist Reason. Cambridge: Polity Press, 1987.

Giddens A. The Constitution of Society: Outline of the Theory of Structuration. Cambridge: Polity Press, 1984.

Davenport T and Prusak L. Information Ecology. Oxford, UK: Oxford University Press, 1997.

Pór G. Nurturing systemic wisdom through knowledge ecology. The Systems Thinker 2000;11(8):1–5.

Pearce C, Shearer M, Gardner K, Kelly J and Xu TB. GP Networks as enablers of quality of care: implementing a practice engagement framework in a General Practice Network. Australian Journal Primary Health 2012;18(2):101–4. Available from: PMid:22551830.

Blumenthal D and Dixon J. Health-care reforms in the USA and England: areas for useful learning. Lancet 2012;380(9850): 1352–7. Available from:

McCrickerd J. Metaphors, models and organisational ethics in health care. Journal of Medical Ethics 2000;26(5): 340–5. Available from: PMid:11055036; PMCid:PMC1733288.

Liaw ST, Chen HY, Maneze D, Taggart J, Dennis S, Vagholkar S, et al. Health reform: is routinely collected electronic information fit for purpose? Emergency Medicine Australasia 2012;24(1):57–63.

Liaw S, Taggart J, Dennis S and Yeo A. Data quality and fitness for purpose of routinely collected data – a case study from an electronic practice-based research network (ePBRN). American Medical Informatics Association Annual Symposium 2011. Washington DC: Springer Verlag, 2011. Available from: PMid:22313561.

de Lusignan S, Chan T, Theadom A and Dhoul N. The roles of policy and professionalism in the protection of processed clinical data: a literature review. International Journal of Medical Informatics 2007;77(5):291–304.

Sutcliffe D, Lester H, Hutton J and Stokes T. NICE and the Quality and Outcomes Framework (QOF) 2009–2011. Quality in Primary Care 2009;20(1):47–55.

Weber K, Otto B and Osterle H. One size does not fit all – a contingency approach to data governance. Journal of Data & Information Quality (JDIQ) 2009;1(1):4. Available from:

Wende K. A Model for Data Governance – Organising Accountabilities for Data Quality Management. 18th Australasian Conference on Information Systems (5–7 Dec, Toowoomba: Australia), 2007.

Rthlin M. Management of Data Quality in Enterprise Resource Planning Systems. BoD-Books on Demand, 2010.

Wende K and Otto B. A contingency approach to data governance. Proceedings of International Conference on Information Quality, 2007. pp. 163–76.

Darzi A. Our NHS – secured today for future generations. High Quality Care For All – NHS Next Stage Review Final Report. London: Department of Health, 2008.



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