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ON SOLVING SOME HETEROGENEOUS PROBLEMS OF HEALTHCARE INFORMATION SHARING AND INTEROPERABILITY USING ONTOLOGY COMPUTING

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Biomedical Engineering

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Abstract

A Clinical Information System (CIS) (or interchangeably, called Healthcare Information System (HIS)) is usually implemented using a Windows-based client-and-server architecture. The development of this system relies heavily on the use of a medical database as a backend and a graphic user interface (GUI) for data input and output as a frontend. The data in the frontend consists of multiple GUI’s fields of various forms, which compose structured data and free-text medical reports on patients. These free text medical reports are mostly made of the complicated part of unstructured text data. Usually, the free-text medical reports include reports on patient intake, examination, and discharge, which could be an input from a keyboard, a handwriting device, a voice microphone, transcription service or others. All the data, including structured and unstructured data, are stored in the backend database. Generally a relational database (RDB) is adopted and its schema was well designed by applying normalization rules so that a flat data view in GUI is implemented with multiple tables and constraints to maintain the data integrity and consistency.

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Authors and Affiliations

  1. Fort Wayne, IN, USA

    Peter A. Ng

Authors
  1. Ching-Song Don Wei
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  2. Jiann-Gwo Doong
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  3. Peter A. Ng
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Correspondence to Peter A. Ng .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Texas A&M University - Commerce, Commerce, 75429, Texas, USA

    Sang C. Suh

  2. at Birmingham, Department of Neurology, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Varadraj P. Gurupur

  3. at Birmingham, Department of Electrical, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Murat M. Tanik

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Wei, CS.D., Doong, JG., Ng, P.A. (2011). ON SOLVING SOME HETEROGENEOUS PROBLEMS OF HEALTHCARE INFORMATION SHARING AND INTEROPERABILITY USING ONTOLOGY COMPUTING. In: Suh, S., Gurupur, V., Tanik, M. (eds) Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0116-2_12

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  • DOI: https://doi.org/10.1007/978-1-4614-0116-2_12

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