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Related Experiment Videos

Developing online support for clinical information system developers: the FAQ approach

A Wilcox1, G Hripcsak, S B Johnson

  • 1Department of Medical Informatics, Columbia University, New York, USA.

Computers and Biomedical Research, an International Journal
|May 8, 1998
PubMed
Summary
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A knowledge-based help system effectively answers developer questions for clinical information systems (CIS). This system augments traditional documentation, offering a viable alternative for accessing critical information.

Area of Science:

  • Health Informatics
  • Software Engineering
  • Human-Computer Interaction

Background:

  • Integrated Clinical Information Systems (CIS) require extensive documentation for developers.
  • Traditional documentation can be cumbersome and less effective for specific user queries.
  • Knowledge-based help systems offer a potential solution for improving developer support.

Purpose of the Study:

  • To evaluate the effectiveness of a knowledge-based help system for CIS developers.
  • To assess the system's ability to answer user questions accurately and efficiently.
  • To compare the utility of question-answer (Q-A) exchanges against traditional documentation.

Main Methods:

  • A comparative study was conducted using 47 real-world questions from CIS developers.

Related Experiment Videos

  • User performance and behavior were analyzed.
  • Answers from the help system were compared to those found in existing documentation.

    • Main Results:

    • The knowledge-based help system augmented 39% of user answers.
    • Q-A exchanges, comprising less than 5% of total documentation, provided answers to nearly 50% of questions.
    • Traditional documentation contained answers to approximately 75% of the questions.

    Conclusions:

    • A knowledge-based help system, built on collected questions and answers, is a practical alternative to extensive documentation.
    • Effective collection of questions and answers is crucial for the success of such systems.
    • This approach can significantly improve information retrieval for complex systems like CIS.