TY - GEN
T1 - Development of a web-based quality indicators monitoring system for long-term care facilities
AU - Huang, Ean Wen
AU - Chen, Jung Chun
AU - Liu, Fei Ying
AU - Chiou, Shwu Fen
AU - Duh, Chingmiin
AU - Liou, Der Ming
AU - Wang, Suh Chin
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Population aging is an important issue in Taiwan. The percentage of elderly members of the population has been growing quickly during recent years. The requirements of long-term care for chronic and functionally impaired patients are rapidly increasing. Beside medical treatment, the needs of long-term care facilities are also continuously increasing. Among the variants of long-term care institutions, the quality of healthcare service varies widely and lacks an objective assessment indicator. In order to manage healthcare quality, Taiwan Long Term Care Association has defined six quality indicators including number of falls, nosocomial infections, use of physical restraints, non-planned weight gain or loss, pressure ulcers and non-planned transfers to acute hospitals. In order to facilitate, collect and calculate the indicators, the Association cooperates with us to implement a service system. The architecture of the system has four components including Data Collection Subsystem, Report Generation Subsystem, Aggregation and Analysis Subsystem and System Administration Subsystem. In this paper, we introduce and share our experience of the system's development.
AB - Population aging is an important issue in Taiwan. The percentage of elderly members of the population has been growing quickly during recent years. The requirements of long-term care for chronic and functionally impaired patients are rapidly increasing. Beside medical treatment, the needs of long-term care facilities are also continuously increasing. Among the variants of long-term care institutions, the quality of healthcare service varies widely and lacks an objective assessment indicator. In order to manage healthcare quality, Taiwan Long Term Care Association has defined six quality indicators including number of falls, nosocomial infections, use of physical restraints, non-planned weight gain or loss, pressure ulcers and non-planned transfers to acute hospitals. In order to facilitate, collect and calculate the indicators, the Association cooperates with us to implement a service system. The architecture of the system has four components including Data Collection Subsystem, Report Generation Subsystem, Aggregation and Analysis Subsystem and System Administration Subsystem. In this paper, we introduce and share our experience of the system's development.
KW - long term care
KW - nursing home
KW - quality indicators
KW - web-based system
UR - http://www.scopus.com/inward/record.url?scp=84862955069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862955069&partnerID=8YFLogxK
U2 - 10.1109/BMEI.2011.6098708
DO - 10.1109/BMEI.2011.6098708
M3 - Conference contribution
AN - SCOPUS:84862955069
SN - 9781424493524
T3 - Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
SP - 1924
EP - 1928
BT - Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
T2 - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Y2 - 15 October 2011 through 17 October 2011
ER -