Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An intelligent case-based knowledge management system for quality improvement in nursing homes

An intelligent case-based knowledge management system for quality improvement in nursing homes PurposeThis paper aims to maintain the high service quality of the long-term care service providers by establishing a knowledge-based system so as to enhance the service quality of nursing homes and the performance of its nursing staff continually.Design/methodology/approachAn intelligent case-based knowledge management system (ICKMS) is developed with the integration of two artificial intelligence techniques, i.e. fuzzy logic and case-based reasoning (CBR). In the system, fuzzy logic is adopted to assess the performance through the analysis of the long-term care services provided, nurse performance and elderly satisfaction, whereas CBR is used to formulate a customized re-training program for quality improvement. A case study is conducted to validate the feasibility of the proposed system.FindingsThe empirical findings indicate that the ICKMS helps in identification of those nursing staff who cannot meet the essential service standard. Through the customized re-training program, the performance of the nursing staff can be greatly enhanced, whereas the medical errors and complaints can be considerably reduced. Furthermore, the proposed methodology provides a cost-saving approach in the administrative work.Practical implicationsThe findings and results of the study facilitate decision-making using the ICKMS for the long-term service providers to improve their performance and service quality by providing a customized re-training program to the nursing staff.Originality/valueThis study contributes to establishing a knowledge-based system for the long-term service providers for maintaining the high service quality in the health-care industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png VINE Journal of Information and Knowledge Management Systems Emerald Publishing

An intelligent case-based knowledge management system for quality improvement in nursing homes

Download PDF
19 pages

Loading next page...
 
/lp/emerald-publishing/an-intelligent-case-based-knowledge-management-system-for-quality-osF392RiT6

References (64)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
2059-5891
DOI
10.1108/VJIKMS-01-2017-0001
Publisher site
See Article on Publisher Site

Abstract

PurposeThis paper aims to maintain the high service quality of the long-term care service providers by establishing a knowledge-based system so as to enhance the service quality of nursing homes and the performance of its nursing staff continually.Design/methodology/approachAn intelligent case-based knowledge management system (ICKMS) is developed with the integration of two artificial intelligence techniques, i.e. fuzzy logic and case-based reasoning (CBR). In the system, fuzzy logic is adopted to assess the performance through the analysis of the long-term care services provided, nurse performance and elderly satisfaction, whereas CBR is used to formulate a customized re-training program for quality improvement. A case study is conducted to validate the feasibility of the proposed system.FindingsThe empirical findings indicate that the ICKMS helps in identification of those nursing staff who cannot meet the essential service standard. Through the customized re-training program, the performance of the nursing staff can be greatly enhanced, whereas the medical errors and complaints can be considerably reduced. Furthermore, the proposed methodology provides a cost-saving approach in the administrative work.Practical implicationsThe findings and results of the study facilitate decision-making using the ICKMS for the long-term service providers to improve their performance and service quality by providing a customized re-training program to the nursing staff.Originality/valueThis study contributes to establishing a knowledge-based system for the long-term service providers for maintaining the high service quality in the health-care industry.

Journal

VINE Journal of Information and Knowledge Management Systems – Emerald Publishing

Published: Feb 12, 2018

There are no references for this article.