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A model for structured data entry based on explicit descriptional knowledge

P W Moorman1, A M van Ginneken, J van der Lei

  • 1Department of Medical Informatics, Faculty of Medicine, and Health Sciences, Erasmus University Rotterdam, The Netherlands.

Methods of Information in Medicine
|December 1, 1994
PubMed
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Structured data entry (SDE) can improve clinical data quality. This study introduces a model for explicit descriptional knowledge to support SDE, ensuring physician acceptance and unambiguous patient data.

Area of Science:

  • Medical Informatics
  • Health Data Management
  • Clinical Documentation

Background:

  • Clinical narratives in patient records are unstructured free text.
  • This limits their utility for research, quality assessment, and decision support.
  • Structured Data Entry (SDE) offers a solution for data standardization.

Purpose of the Study:

  • To define requirements for SDE acceptable to physicians.
  • To ensure SDE generates unambiguous patient data.
  • To propose a model for representing knowledge supporting SDE.

Main Methods:

  • Analysis of requirements for physician-acceptable and unambiguous SDE.
  • Identification and formalization of 'descriptional knowledge' underpinning SDE.
  • Development of a model for representing this knowledge in domain-specific knowledge bases.

Related Experiment Videos

  • Implementation of a general data entry program driven by user input and knowledge bases.

    • Main Results:

    • A model for formally representing descriptional knowledge was developed.
    • This model enables the creation of domain-specific knowledge bases for SDE.
    • A general data entry program utilizes this knowledge to achieve SDE.

    Conclusions:

    • Explicit descriptional knowledge is crucial for effective SDE.
    • The proposed model facilitates the representation and application of this knowledge.
    • This approach enhances the usability of clinical narratives for various healthcare applications.