Journal of Medical Systems

, Volume 29, Issue 4, pp 379–389 | Cite as

Electronic Clinical Path System Based on Semistructured Data Model Using Personal Digital Assistant for Onsite Access

  • Osamu Okada
  • Naoki Ohboshi
  • Tomohiro Kuroda
  • Keisuke Nagase
  • Hiroyuki Yoshihara
Article

Abstract

Clinical Paths (Paths) have been introduced by different hospitals for patient care management. An Electronic Clinical Path (ECP) with onsite access provision seems to improve the efficiency of medical staffs because they can share vast medical information about patients at a time and also can reuse accumulated data easily, which is impossible with paper-based Path. Data model is the basis for implementing ECP. However, there is no established model for ECP. The purpose of this study is to introduce a model for ECP and implement an ECP with onsite access system. We introduced a Semistructured Data Model (SSDM) for ECP, and implemented a Web application system based on this model using Personal Digital Assistant (PDA) as inputting device. Our system functioned as expected with wireless LAN, and users handled the data on bedside using PDA. By introducing SSDM, we showed the correspondence between schema of Paths and implementation of ECP.

Key words

electronic clinical path semistructured data model personal digital assistant (PDA) web application onsite access 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zander, K., Focusing on patient outcome: Case management in the 90’s.Dimens. Crit. Care Nurs. 11(3):127–129, 1992.PubMedGoogle Scholar
  2. 2.
    Hofmann, P. A., Critical path method: An important tool for coordinating clinical care. Jt. Comm. J. Qual. Improv. 19(7):235–246, 1993.PubMedGoogle Scholar
  3. 3.
    Luttman, R. J., Laffel, G. L., and Pearson, S. D., Using PERT/CPM to design and improve clinical processes. Qual. Manag. Health Care 3(2):1–13, 1995.Google Scholar
  4. 4.
    Ohboshi, N., and Oyama, H., Implementation of electronic clinical path system available in WWW base. Jpn. J. Med. Inform. 22(Suppl.): 115–116, 2002.Google Scholar
  5. 5.
    Okada, O., Ohboshi, N., Kuroda, K., and Yoshihara, H., Development of electronic clinical path system using PDA as inputting device. IPSJ SIGNotes Groupware Netw. Serv. 49:145–150, 2003 (in Japanese).Google Scholar
  6. 6.
    Abiteboul, S., Querying semi-structured data. In Proc. 6th Int. Conf. Database Theory, pp. 1–18, 1997.Google Scholar
  7. 7.
    Abiteboul, S., Quass, D., McHugh, J., Widom, J., and Wiener, J. L., The Lorel query language for semistructured data. Int. J. Digit. Libr. 1: 68–88, 1997.CrossRefGoogle Scholar
  8. 8.
    Abiteboul, S., Buneman, P., and Suciu, D., Data on the Web, Morgan Kaufmann, San Francisco, pp. 11–50, 1999.Google Scholar
  9. 9.
    Okada, O., Ohboshi, N., and Oyama, H., Development of comparing tool of clinical paths. IPSJ SIGNotes Groupware Netw. Serv. 46:59–63, 2003 (in Japanese).Google Scholar
  10. 10.
    Buneman, P., Semistructured data. In Proc. 16th ACM SIGACT-SIGMOD-SIGART Symp. Princ. Database Syst., pp. 117–121, 1997.Google Scholar
  11. 11.
    Vianu, V., A web odyssey: From Codd to XML. In Proc. 20th ACM SIGACT-SIGMOD-SIGART Symp. Princ. Database Syst., pp. 1–15, 2001.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Osamu Okada
    • 1
  • Naoki Ohboshi
    • 2
  • Tomohiro Kuroda
    • 1
  • Keisuke Nagase
    • 1
  • Hiroyuki Yoshihara
    • 1
  1. 1.Department of Medical InformaticsKyoto University HospitalSakyo-kuJapan
  2. 2.Department of InformaticsSchool of Science and Engineering, Kinki UniversityJapan

Personalised recommendations