TY - GEN
T1 - An intelligent service planning system for effective home care service scheduling
AU - Siu, Paul K.Y.
AU - Choy, K. L.
AU - Lam, H. Y.
N1 - Funding Information:
ACKNOWLEDGMENT The authors would like to thank the Research Office of the Hong Kong Polytechnic University for supporting the project (Project Code: G-UABN).
Publisher Copyright:
© 2018 Portland International Conference on Management of Engineering and Technology, Inc. (PICMET).
PY - 2018/10/4
Y1 - 2018/10/4
N2 - Due to the increasing aging population over the world, it is challenging to take care of the large number of elderly people who are weak and living alone. In order to assist them to remain part of the community, home care services are being focused on enabling elderly people to receive nursing and care services in their familiar home and community environment. However, with the increasing need for home nursing care services, there is an insufficient number of nursing staff to provide service to these elderly people. Further, nursing staff may need to work on tight schedules to fulfill the extra needs of the elderly, and may affect their working performance and result in poor service satisfaction. In this paper, an intelligent service planning system (ISPS) is designed for facilitating decision making in effective home care service scheduling. The Genetic Algorithm (GA) approach is applied in the system to formulate the service schedule for each nursing staff by considering the estimated time for serving the elderly. In order to validate the feasibility of the proposed system, a case study was conducted in a healthcare center. The results show that the service satisfaction from the elderly and the work satisfaction of the nurses are both increased.
AB - Due to the increasing aging population over the world, it is challenging to take care of the large number of elderly people who are weak and living alone. In order to assist them to remain part of the community, home care services are being focused on enabling elderly people to receive nursing and care services in their familiar home and community environment. However, with the increasing need for home nursing care services, there is an insufficient number of nursing staff to provide service to these elderly people. Further, nursing staff may need to work on tight schedules to fulfill the extra needs of the elderly, and may affect their working performance and result in poor service satisfaction. In this paper, an intelligent service planning system (ISPS) is designed for facilitating decision making in effective home care service scheduling. The Genetic Algorithm (GA) approach is applied in the system to formulate the service schedule for each nursing staff by considering the estimated time for serving the elderly. In order to validate the feasibility of the proposed system, a case study was conducted in a healthcare center. The results show that the service satisfaction from the elderly and the work satisfaction of the nurses are both increased.
UR - http://www.scopus.com/inward/record.url?scp=85056487784&partnerID=8YFLogxK
U2 - 10.23919/PICMET.2018.8481804
DO - 10.23919/PICMET.2018.8481804
M3 - Conference article published in proceeding or book
AN - SCOPUS:85056487784
T3 - PICMET 2018 - Portland International Conference on Management of Engineering and Technology: Managing Technological Entrepreneurship: The Engine for Economic Growth, Proceedings
SP - 1
EP - 6
BT - PICMET 2018 - Portland International Conference on Management of Engineering and Technology
A2 - Steenhuis, Harm-Jan
A2 - Niwa, Kiyoshi
A2 - Perman, Gary
A2 - Kocaoglu, Dundar F.
A2 - Anderson, Timothy R.
A2 - Kozanoglu, Dilek Cetindamar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Portland International Conference on Management of Engineering and Technology, PICMET 2018
Y2 - 19 August 2018 through 23 August 2018
ER -