Wilfred Bonney


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. Adler-Milstein, J., & Bates, D. W. (2010). Paperless healthcare: Progress and challenges of an IT-enabled healthcare system. Business Horizons, 53(2), 119-130. doi:DOI: 10.1016/j.bushor.2009.10.004.
  2. de Lusignan, S. (2006). 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. Informatics in Primary Care, 14(2), 133-137.
  3. de Lusignan, S., Valentin, T., Chan, T., Hague, N., Wood, O., van Vlymen, J., & Dhoul, N. (2004). Problems with primary care data quality: Osteoporosis as an exemplar. Informatics in Primary Care, 12(3), 147- 156.
  4. de Lusignan, S., Hague, N., Brown, A., & Majeed, A. (2004). An educational intervention to improve data recording in the management of ischaemic heart disease in primary care. Journal of Public Health, 26(1), 34-37.
  5. de Lusignan, S., & van Weel, C. (2006). The use of routinely collected computer data for research in primary care: Opportunities and challenges. Family Practice, 23(2), 253-263.
  6. Detmer, D., Bloomrosen, M., Raymond, B., & Tang, P. (2008). Integrated personal health records: Transformative tools for consumer-centric care. BMC Medical Informatics and Decision Making, 8(1), 45- 58. Retrieved from 1472-6947/8/45.
  7. Diamond, C., & Shirky, C. (2008). Health information technology: A few years of magical thinking? Health Affairs, W383.
  8. Dolin, R. H., Alschuler, L., Boyer, S., & Beebe, C. (2006). HL7 clinical document architecture, release 2. Journal of the American Medical Informatics Association, 13(1), 30-39.
  9. Follen, M., Castaneda, R., Mikelson, M., Johnson, D., Wilson, A., & Higuchi, K. (2007). Implementing health information technology to improve the process of health care delivery: A case study. Disease Management, 10(4), 208-215.
  10. Gormley, G., Connolly, D., Catney, D., Freeman, L., Murray, L. J., & Gavin, A. (2008). Reporting of research data by GPs: A cautionary tale for primary care researchers. Family Practice, 25(3), 209-212.
  11. Halley, E., Sensmeier, J., & Brokel, J. (2009). Nurses exchanging information: Understanding electronic health record standards and interoperability. Urologic Nursing, 29(5), 305-314.
  12. International Health Terminology Standards Development Organization (IHTSDO). (2010). SNOMED-CT. Retrieved March 22, 2010, from
  13. Jamal, A., McKenzie, K., & Clark, M. (2009). The impact of health information technology on the quality of medical and health care: A systematic review. Health Information Management Journal, 38(3), 26-37.
  14. Lee, Choi, Sung, Kim, Chung, Kim, Jeon, & Park. (2009). Development of the korean primary care assessment tool--measuring user experience: Tests of data quality and measurement performance. International Journal for Quality in Health Care, 21(2), 103-111.
  15. Logical Observation Identifiers Names and Codes (LOINC). (2010). LOINC. Retrieved March 22, 2010, from
  16. Patel, A., Rendu, A., Moran, P., Leese, M., Mann, A., & Knapp, M. (2005). A comparison of two methods of collecting economic data in primary care. Family Practice, 22(3), 323-327.
  17. Reti, S. R., Feldman, H. J., & Safran, C. (2009). Governance for personal health records. Journal of the American Medical Informatics Association, 16(1), 14- 17. Retrieved from 10.1197/jamia.M2854;
  18. Rollason, W., Khunti, K., & de Lusignan, S. (2009). Variation in the recording of diabetes diagnostic data in primary care computer systems: Implications for the quality of care. Informatics in Primary Care, 17(2), 113-119.
  19. Safran, C., Bloomrosen, M., Hammond, W., Labkoff, S., Markel-Fox, S., Tang, P. C., & Detmer, D. E. (2007). Toward a national framework for the secondary use of health data: An american medical informatics association white paper. Journal of the American Medical Informatics Association, 14(1), 1-9.
  20. Smith, G., Hippisley-Cox, J., Harcourt, S., Heaps, M., Painter, M., Porter, A., & Pringle, M. (2007). Developing a national primary care-based early warning system for health protection--a surveillance tool for the future? analysis of routinely collected data. Journal of Public Health, 29(1), 75-82.
  21. Teasdale, S., Bates, D., Kmetik, K., Suzewits, J., & Bainbridge, M. (September 2007). Secondary uses of clinical data in primary care. Informatics in Primary Care, 15(3), 157-166.
  22. Watkins, T. J., Haskell, R. E., Lundberg, C. B., Brokel, J. M., Wilson, M. L., & Hardiker, N. (2009). Terminology use in electronic health records: Basic principles. Urologic Nursing, 29(5), 321-327.
  23. World Health Organization (WHO). (2010). International classification of diseases (ICD). Retrieved March 22, 2010, from

Paper Citation

in Harvard Style

Bonney W. (2011). IMPROVING THE QUALITY OF PRIMARY CARE DATA WITH INTEROPERABLE STANDARDS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 446-450. DOI: 10.5220/0003119704460450

in Bibtex Style

author={Wilfred Bonney},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
SN - 978-989-8425-34-8
AU - Bonney W.
PY - 2011
SP - 446
EP - 450
DO - 10.5220/0003119704460450