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Electronic clinical path system based on semistructured data model using personal digital assistant for onsite

Osamu Okada1, Naoki Ohboshi, Tomohiro Kuroda

  • 1Department of Medical Informatics, Kyoto University Hospital, 54, Kawahara-cho Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. ookada@kuhp.kyoto-u.ac.jp

Journal of Medical Systems
|September 24, 2005
PubMed
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This study introduces a Semistructured Data Model (SSDM) for Electronic Clinical Paths (ECP), improving medical staff efficiency through better data sharing and reuse. The developed system enables onsite data access via Personal Digital Assistants (PDAs).

Area of Science:

  • Health Informatics
  • Medical Data Management

Background:

  • Clinical Paths (Paths) are used for patient care management.
  • Paper-based Paths limit data sharing and reuse, impacting medical staff efficiency.
  • Electronic Clinical Paths (ECP) offer potential improvements but lack established data models.

Purpose of the Study:

  • To introduce a novel data model for Electronic Clinical Paths (ECP).
  • To implement an ECP system with onsite access capabilities.
  • To demonstrate the feasibility and benefits of the proposed model.

Main Methods:

  • Development of a Semistructured Data Model (SSDM) for ECP.
  • Implementation of a Web application system utilizing the SSDM.
  • Integration of Personal Digital Assistants (PDAs) for data input and bedside access.

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  • Utilizing wireless LAN for system functionality.

    • Main Results:

    • The implemented ECP system functioned as expected.
    • Medical staff could access and manage patient data at the bedside using PDAs.
    • The SSDM effectively mapped the schema of Clinical Paths to the ECP implementation.
    • Demonstrated improved data sharing and reuse capabilities compared to paper-based systems.

    Conclusions:

    • The Semistructured Data Model (SSDM) provides a viable foundation for Electronic Clinical Paths (ECP).
    • The developed ECP system enhances medical staff efficiency through improved data accessibility and management.
    • Onsite access via PDAs facilitates real-time patient data handling.