Skip to main content

Advertisement

SpringerLink
Log in

Performance Assessment of EMR Systems Based on Post-Relational Database

  • ORIGINAL PAPER
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Post-relational databases provide high performance and are currently widely used in American hospitals. As few hospital information systems (HIS) in either China or Japan are based on post-relational databases, here we introduce a new-generation electronic medical records (EMR) system called Hygeia, which was developed with the post-relational database Caché and the latest platform Ensemble. Utilizing the benefits of a post-relational database, Hygeia is equipped with an “integration” feature that allows all the system users to access data—with a fast response time—anywhere and at anytime. Performance tests of databases in EMR systems were implemented in both China and Japan. First, a comparison test was conducted between a post-relational database, Caché, and a relational database, Oracle, embedded in the EMR systems of a medium-sized first-class hospital in China. Second, a user terminal test was done on the EMR system Izanami, which is based on the identical database Caché and operates efficiently at the Miyazaki University Hospital in Japan. The results proved that the post-relational database Caché works faster than the relational database Oracle and showed perfect performance in the real-time EMR system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Philippi, S., Model driven generation and testing of object-relational mappings. J Syst Softw 77:193–207, 2005.

    Article  Google Scholar 

  2. http://www.intersystems.com/industry/healthcare/intersystems-in-healthcare.html.

  3. http://www.hospitalnetwork.com/article.mvc/University-Of-Colorado-Hospital-0001.

  4. Mumps technologies, http://www.mumpsprogrammer.com/csp/web/Index.csp, 2010.

  5. Mumps, http://en.wikipedia.org/wiki/MUMPS, 2010.

  6. Li, J.S., Zhang, X.G., Chu, J., Suzuki, M.,and Araki, K., Design and Development of EMR Supporting Medical Process Management, J Med Syst, 2010-09-02, Online.

  7. Rahimi, B., and Vimarlund, V., Methods to evaluate health information systems in healthcare settings: a literature review. J Med Syst 31:397–432, 2007.

    Article  Google Scholar 

  8. Pangalos, G. J., Performance evaluation of hospital relational database systems. Inform Health Soc Care 12(2):115–123, 1987.

    Article  Google Scholar 

  9. Kirigia, J. M., Emrouznejad, A., Cassoma, B., Asbu, E. Z., and Barry, S., A performance assessment method for hospitals: the case of municipal hospitals in Angola. J Med Syst 32:509–519, 2008.

    Article  Google Scholar 

  10. England, I., and Stewart, D., Health: IT leader or laggard? A comparative assessment of IT maturity. Health Rev 26(2):114–120, 2003.

    Article  Google Scholar 

  11. Sortliffe, E. H., and Cimino J. J., Biomedical Informatics: Computer Applications in Health Care and Biomedicine, 3rd edition, 447–475, Springer, 2006.

  12. Bleich, H. L., and Slack, W. V., Reflections on electronic medical records: when doctors will use them and when they will not. Int J Med Inform 79:1–4, 2010.

    Article  Google Scholar 

  13. Blumenthal, D., and Glaser, J. P., Information technology comes to medicine. N Engl J Med 356:2527–2534, 2007.

    Article  Google Scholar 

  14. Uslu, A. M., and Stausberg, J., Value of the electronic patient record: an analysis of the literature. J Biomed Inform 41:675–682, 2008.

    Article  Google Scholar 

  15. Iedema, R., New approaches to researching patient safety. Soc Sci Med 69:1701–1704, 2009.

    Article  Google Scholar 

  16. Delpierre, C., Cuzin, L., Fillaux, J., Alvarez, M., Massip, P., and Lang, T., A systematic review of computer-based patient record systems and quality of care: more randomized clinical trials or a broader approach? Int J Qual Health Care 16(5):407–416, 2004.

    Article  Google Scholar 

  17. Davis, K., Doty, M. M., Shea, K., and Stremikis, K., Health information technology and physician perceptions of quality of care and satisfaction. Health Policy 90:239–246, 2009.

    Article  Google Scholar 

  18. Tange, H., How to approach the structuring of the medical record? Towards a model for flexible access to free text medical data. Int J Biomed Comput 42:27–34, 1996.

    Article  Google Scholar 

  19. Product quicktake-Intersystems Ensemble, http://www.ebizQ.net. 2010.

  20. Caché Data Server Features, http://www.intersystems.com/cache/technology/fb/fb_02.html. 2010.

  21. Mohd, H., and Mohamad, S. M. D., Acceptance model of electronic medical record. J Adv Inform Manage Studies 2(1):75–92, 2005.

    Google Scholar 

  22. Takemura, T., and Ashida, N., A study of the medical record interface to natural language processing. J Med Syst 26(2):79–87, 2002.

    Article  Google Scholar 

  23. Krisch, M., Vogg, I., Hosten, N., and Flessa, S., Quality management in a radiological practice Experiences with a certification for DIN EN ISO 9001:2000. Eur J Radiol 75:e1–e8, 2010.

    Article  Google Scholar 

  24. Eijk, I. V. D., Verheggen, F. W., and Russel, M. G., “Best practice” in inflammatory bowel disease: an international survey and audit. Eur J Intern Med 15:113–120, 2004.

    Article  Google Scholar 

  25. Thornlow, D. K., and McGuinn, K., A necessary sea change for nurse faculty development: spotlight on quality and safety. J Prof Nurs 26(2):71–81, 2010.

    Article  Google Scholar 

  26. Scott, B. S., Wilcock, A. E., and Kanetkar, V., A survey of structured continuous improvement programs in the Canadian food sector. Food Control 20:209–217, 2009.

    Article  Google Scholar 

  27. Takeda, H., Mastsumura, Y., Nakajima, K., and Kuwata, S., Health care quality management by means of an incident report system and an electronic patient record system. Int J Med Inform 69:285–293, 2003.

    Article  Google Scholar 

  28. Poissant, L., Pereira, J., Tamblyn, R., and Kawasumi, Y., The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 12(5):505–516, 2005.

    Article  Google Scholar 

  29. Eslami, S., de Keizer, N. F., and Abu-Hanna, A., The impact of computerized physician medication order entry in hospitalized patients—a systematic review. Int J Med Inform 77:365–376, 2008.

    Article  Google Scholar 

  30. Wang, T. T. H., Healthcare informatics research: from data to evidence-based management. J Med Syst 30(1):3–7, 2006.

    Article  Google Scholar 

  31. Schiffman, R.N., Brandt, C.A., Liaw, Y., and C.G.J., A design model for computer based guideline implementation based on information management services. Journal of the American Medical Informatiics Association, 6(2): 99-103. 1999.

  32. Williams, F., and Boren, S. A., The role of electronic medical record in care delivery in developing countries. Int J Inf Manage 28:503–507, 2008.

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by the Fundamental Research Funds for the Central Universities and by National High-tech R&D Program (No. 2009AA045300).

Author information

Authors and Affiliations

  1. Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou, 310027, China

    Hai-Yan Yu, Jing-Song Li, Xiao-Guang Zhang & Yu Tian

  2. Department of Medical Informatics, Miyazaki University Hospital, Miyazaki, Japan

    Muneou Suzuki & Kenji Araki

Authors
  1. Hai-Yan Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing-Song Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiao-Guang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yu Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Muneou Suzuki
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kenji Araki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jing-Song Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, HY., Li, JS., Zhang, XG. et al. Performance Assessment of EMR Systems Based on Post-Relational Database. J Med Syst 36, 2421–2430 (2012). https://doi.org/10.1007/s10916-011-9709-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-011-9709-y

Keywords

Search

Navigation