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

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.

[1]  Tom Chan,et al.  The Development of Primary Care Information Technology in the United Kingdom , 2008, The Journal of ambulatory care management.

[2]  Jennifer Dixon,et al.  Health-care reforms in the USA and England: areas for useful learning , 2012, The Lancet.

[3]  J. Habermas.  The theory of communicative action: Lifeworld and system - A critique of functionalist reason , 1990 .

[4]  Simon de Lusignan,et al.  The roles of policy and professionalism in the protection of processed clinical data: A literature review , 2007, Int. J. Medical Informatics.

[5]  A. Kellerman,et al.  The Constitution of Society : Outline of the Theory of Structuration , 2015 .

[6]  Trisha Greenhalgh,et al.  Large-system transformation in health care: a realist review. , 2012, The Milbank quarterly.

[7]  K. Thiru,et al.  Systematic review of scope and quality of electronic patient record data in primary care , 2003, BMJ : British Medical Journal.

[8]  T. Greenhalgh,et al.  Why national eHealth programs need dead philosophers: Wittgensteinian reflections on policymakers' reluctance to learn from history. , 2011, The Milbank quarterly.

[9]  Christopher Pearce,et al.  A division's worth of data. , 2011, Australian family physician.

[10]  Michael Röthlin.  Management of Data Quality in Enterprise Resource Planning Systems , 2010 .

[11]  Jane Taggart,et al.  Health reform: Is routinely collected electronic information fit for purpose? , 2012, Emergency medicine Australasia : EMA.

[12]  S de Lusignan,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 , 2011, Yearbook of Medical Informatics.

[13]  Christopher Pearce,et al.  GP Networks as enablers of quality of care: implementing a practice engagement framework in a General Practice Network. , 2012, Australian journal of primary health.

[14]  D. Anthony.  Evidence-based Policy: A Realist Perspective , 2007 .

[15]  Kristin Wende,et al.  A Model for Data Governance - Organising Accountabilities for Data Quality Management , 2007 .

[16]  Jane Taggart,et al.  Data quality and fitness for purpose of routinely collected data--a general practice case study from an electronic practice-based research network (ePBRN). , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[17]  T. Greenhalgh,et al.  Interpreted consultations as 'business as usual'? An analysis of organisational routines in general practices. , 2007, Sociology of health & illness.

[18]  M. Berg,et al.  ICT in health care: sociotechnical approaches. , 2003, Methods of Information in Medicine.

[19]  Claudio U. Ciborra,et al.  Hospitality and IT , 1999 .

[20]  Christine C Bennett.  A healthier future for all Australians: an overview of the final report of the National Health and Hospitals Reform Commission , 2009, The Medical journal of Australia.

[21]  Helena Karasti,et al.  Enriching the Notion of Data Curation in E-Science: Data Managing and Information Infrastructuring in the Long Term Ecological Research (LTER) Network , 2006, Computer Supported Cooperative Work (CSCW).

[22]  D. Boyd,et al.  Six Provocations for Big Data , 2011 .

[23]  C. Pearce,et al.  Can clinical governance deliver quality improvement in Australian general practice and primary care? A systematic review of the evidence , 2010, The Medical journal of Australia.

[24]  Boris Otto,et al.  One Size Does Not Fit All---A Contingency Approach to Data Governance , 2009, JDIQ.

[25]  Bo Pedersen Weidema,et al.  Data quality management for life cycle inventories—an example of using data quality indicators☆ , 1996 .

[26]  Jennifer McCrickerd,et al.  Metaphors, models and organisational ethics in health care , 2000, Journal of medical ethics.

[27]  NURTURING SYSTEMIC WISDOM THROUGH KNOWLEDGE ECOLOGY , 2000 .

[28]  Carol V. Brown,et al.  Designing data governance , 2010, CACM.

[29]  Boris Otto,et al.  A Contingency Approach To Data Governance , 2007, ICIQ.

[30]  T. Davenport,et al.  How ‘ Big Data ’ is Different FALL 2012 , 2012 .

[31]  James M. Walker,et al.  Bridging the inferential gap: the electronic health record and clinical evidence. , 2007, Health affairs.

[32]  K. Weick.  Making Sense of the Organization, Volume 2: The Impermanent Organization , 2009 .

[33]  Marc Berg,et al.  Patient care information systems and health care work: a sociotechnical approach , 1999, Int. J. Medical Informatics.

[34]  J. Hutton,et al.  NICE and the Quality and Outcomes Framework (QOF) 2009-2011. , 2012, Quality in primary care.