Patient record presentation in a hierarchically based medical expert system

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Publication Type thesis
School or College School of Medicine
Department Biomedical Informatics
Author Sun, Qi-Kang
Title Patient record presentation in a hierarchically based medical expert system
Date 1989-12
Description An algorithm was developed to improve the display of the patient record in the Iliad expert system. The functional improvements in the display include the following features: 1) organization by category (history, physical exam), 2) indentation to distinguish levels of the dictionary term, 3) bold display of positive findings, 4) determination of abnormal laboratory values, 5) introduction of negative terminology, and 6) ordering of findings by system. This algorithm is completely modular and independent of the underlying functionality of the display window. It would, in fact, be usable by other display windows within the Iliad system or by any expert system with a hierarchical data dictionary. A separate program module was designed in HyperCard to evaluate the improvement in the new display. This module isolates and simulates the relevent parts of the Iliad program for testing purposes. The evaluation showed that the new patient record display had a significant positive influence on the students' performance in terms of accuracy of diagnosis and the ability to recall information. The new patient record display was also found to be more desirable based on subjective responses of the experimental subjects and should consequently increase the usability"" of the Iliad system.""
Type Text
Publisher University of Utah
Subject Medical records - Data processing; Medicine - Data processing
Subject MESH Decision Making, Computer-Assisted; Expert Systems; Hospital Information Systems; Medical History Taking; Medical Informatics Applications; Software
Dissertation Institution University of Utah
Dissertation Name MS
Language eng
Relation is Version of Digital reproduction of "Patient record presentation in a hierarchically based medical expert system Spencer S. Eccles Health Sciences Library.
Rights Management © Qi-Kang Sun.
Format Medium application/pdf
Format Extent 905,073 bytes
Identifier undthes,4095
Source Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available)
Master File Extent 905,222 bytes
ARK ark:/87278/s6xp76qb
Setname ir_etd
ID 190738
Reference URL https://collections.lib.utah.edu/ark:/87278/s6xp76qb
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