Improving the Quality of Primary Care Data with Interoperable Standards

The quest to improve the quality and safety of healthcare delivery has resulted in the development of many interoperable standards. Most of these standards are developed so as to ensure that primary care data are captured, represented and conveyed appropriately in integrated healthcare information systems. Appropriate representation of primary care data will facilitate the secondary uses of the health data. Secondary uses of primary care data have the potential to not only support the clinical decision-making process by healthcare providers but also provide an evidence-based practice. In this paper, a literature review methodology is used to explore how the quality of primary care data can be improved using interoperable standards.

[1]  S. de Lusignan,et al.  The use of routinely collected computer data for research in primary care: opportunities and challenges. , 2006, Family practice.

[2]  Paul C. Tang,et al.  Integrated Personal Health Records: Transformative Tools for Consumer-Centric Care , 2008, BMC Medical Informatics Decis. Mak..

[3]  M. Follen,et al.  Implementing health information technology to improve the process of health care delivery: a case study. , 2007, Disease management : DM.

[4]  A. Jamal,et al.  The Impact of Health Information Technology on the Quality of Medical and Health Care: A Systematic Review , 2009, Health information management : journal of the Health Information Management Association of Australia.

[5]  Robert A. Israel,et al.  International Classification of Diseases (ICD) , 2005 .

[6]  Charles Safran,et al.  Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. , 2007, Journal of the American Medical Informatics Association : JAMIA.

[7]  A. Gavin,et al.  Reporting of research data by GPs: a cautionary tale for primary care researchers. , 2008, Family practice.

[8]  Simon de Lusignan,et al.  The optimum granularity for coding diagnostic data in primary care: report of a workshop of the EFMI Primary Care Informatics Working Group at MIE 2005. , 2006, Informatics in primary care.

[9]  S. de Lusignan,et al.  Variation in the recording of diabetes diagnostic data in primary care computer systems: implications for the quality of care. , 2009, Informatics in primary care.

[10]  Clay Shirky,et al.  Health information technology: a few years of magical thinking? , 2008, Health affairs.

[11]  David Bates,et al.  Secondary uses of clinical data in primary care. , 2007, Informatics in primary care.

[12]  Martin Knapp,et al.  A comparison of two methods of collecting economic data in primary care. , 2005, Family practice.

[13]  Tom Chan,et al.  Problems with primary care data quality: osteoporosis as an exemplar. , 2004, Informatics in primary care.

[14]  Measuring Salivary Cortisol.  Comparison of Two Methods for , 2002 .

[15]  J. Hippisley-Cox,et al.  Developing a national primary care-based early warning system for health protection--a surveillance tool for the future? Analysis of routinely collected data. , 2007, Journal of public health.

[16]  Jae Ho Lee,et al.  Development of the Korean primary care assessment tool--measuring user experience: tests of data quality and measurement performance. , 2009, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[17]  David W. Bates,et al.  Paperless healthcare: Progress and challenges of an IT-enabled healthcare system , 2010 .

[18]  Simon de Lusignan,et al.  An educational intervention to improve data recording in the management of ischaemic heart disease in primary care. , 2004, Journal of public health.

[19]  Marisa L. Wilson,et al.  Terminology use in electronic health records: basic principles. , 2009, Urologic nursing.