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web-based automated classification system for nursing language based on nursing theory

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Date Issued:
2011
Summary:
Health care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge Management System is a novel knowledge-based decision support system for nurses to capture and manage nursing practice, and further, to monitor nursing care quality, as well as to test aspects of an electronic health record for recording and reporting nursing practice. As a part of a collaborative research of the Christine E. Lynn College of Nursing and the Department of Computer Science, a prototype toolset was developed to capture and manage nursing practice in order to improve the quality of care. This thesis focuses on implementing a web based SOA solution for Automated Classification of Nursing Care Categories, based on the knowledge gained from the prototype for nursing care practice.
Title: A web-based automated classification system for nursing language based on nursing theory.
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Name(s): Dass, Subhomoy D.
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2011
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: ix, 78 p. : ill. (some col.)
Language(s): English
Summary: Health care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge Management System is a novel knowledge-based decision support system for nurses to capture and manage nursing practice, and further, to monitor nursing care quality, as well as to test aspects of an electronic health record for recording and reporting nursing practice. As a part of a collaborative research of the Christine E. Lynn College of Nursing and the Department of Computer Science, a prototype toolset was developed to capture and manage nursing practice in order to improve the quality of care. This thesis focuses on implementing a web based SOA solution for Automated Classification of Nursing Care Categories, based on the knowledge gained from the prototype for nursing care practice.
Identifier: 773194549 (oclc), 3332184 (digitool), FADT3332184 (IID), fau:3768 (fedora)
Note(s): by Sughomoy D. Dass.
Thesis (M.S.C.S.)--Florida Atlantic University, 2011.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.
Subject(s): Nursing -- Quality control
Outcome asssessment (Medical care)
Nursing assessment -- Digital techiques
Nursing -- Computer-assisted instruction
Nursing informatics
Persistent Link to This Record: http://purl.flvc.org/FAU/3332184
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Owner Institution: FAU