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Related Experiment Videos

Extending the VA CPRS electronic patient record order entry system using natural language processing techniques.

C Lovis1, T H Payne

  • 1VA Puget Sound Health Care System, Seattle, Washington, USA.

Proceedings. AMIA Symposium
|November 18, 2000
PubMed
Summary
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A new natural language order entry system improves usability for healthcare practitioners using the VA Puget Sound Health Care System's electronic health record. This system addresses increased order entry times associated with automated systems.

Area of Science:

  • Health Informatics
  • Clinical Systems Engineering
  • Human-Computer Interaction

Background:

  • Automated practitioner order entry systems can increase order entry time.
  • Usability and acceptance issues often arise with new electronic health record (EHR) implementations.
  • The VA Puget Sound Health Care System faced challenges with its automated order entry system.

Purpose of the Study:

  • To improve the usability and acceptance of an existing automated order entry system.
  • To introduce a natural language based order entry pathway.
  • To address increased time burdens on practitioners for order entry.

Main Methods:

  • An alternate pathway for direct natural language based order entry was developed within CPRS (Computerized Patient Record System).

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  • Leveraged the existing three-layer CPRS architecture and its object-oriented models for implementation.
  • Evaluated the advantages and necessity of natural language order entry.

    • Main Results:

    • The implementation of a natural language based order entry system was feasible within the existing CPRS architecture.
    • The new pathway aims to reduce the time practitioners spend entering orders.
    • Enhanced system usability and practitioner acceptance are anticipated.

    Conclusions:

    • Natural language based order entry offers significant advantages for improving EHR usability.
    • Extending existing systems like CPRS with natural language capabilities is achievable.
    • This approach can mitigate usability challenges in automated health care systems.