DocumentCode :
3154421
Title :
Implementation of automated knowledge-based Classification of Nursing Care Categories
Author :
Huang, Shihong ; Dass, Subhomoy ; Hsu, Sam ; Pandya, Abhijit
Author_Institution :
Dept. of Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
331
Lastpage :
336
Abstract :
An important aspect 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 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 part of ongoing collaborative research of the nursing school 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 paper focuses on implementing a web based SOA based solution for Automated Classification for Nursing Care Categories, based on the knowledge gained from the prototype for nursing care practice.
Keywords :
health care; knowledge management; medical information systems; patient care; pattern classification; service-oriented architecture; automated knowledge-based classification; collaborative research; electronic health record; health care delivery system; knowledge-based decision support system; nursing care categories; nursing knowledge management system; web based SOA; Classification algorithms; Indexing; Knowledge management; Large scale integration; Medical services; Service oriented architecture; Classification; Knowledge Management; LSI; Natural Language Processing; Nursing care; SOA; Web Services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0964-7
Electronic_ISBN :
978-1-4577-0965-4
Type :
conf
DOI :
10.1109/IRI.2011.6009569
Filename :
6009569
Link To Document :
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