Title: iPCA: an integration information system for patient controlled analgesia using wireless techniques
Authors: Yang, Shu-Fen
Ku, Tien-Hsiung
Jeng, Andy An-Kai
Jan, Rong-Hong
Tseng, Yu-Chee
Wang, Kuo-Chen
Hu, Yuh-Jyh
Department of Computer Science
Keywords: wireless sensor networks;network integration;patient controlled analgesia;home healthcare;data mining
Issue Date: 2013
Abstract: Recently, pain management has become an important aspect of medical care. Patient Controlled Analgesia (PCA) is a particularly effective and flexible treatment that allows patients to adjust the dosages of the analgesics that control their pain after surgery. However, PCA requires manual operation for sustained attention, and should be analysed with other pathology information for synergic usage. In this paper, we propose an integrated information system for pain management, called Integrated Patient Controlled Analgesia (iPCA). The system integrates various PCA-related devices by wireless techniques to provide real-time information for medial staffs, and offer more efficient and convenient pain control for both in-hospital and at-home patients. To evaluate our system, we have developed a prototype and conducted a series of field trails at a large private hospital in southern Taiwan. The results show that the iPCA system indeed works well with patients, and can provide better post-operative pain control by efficiently collecting PCA usage information.
URI: http://hdl.handle.net/11536/21952
ISSN: 1743-8225
DOI: 10.1504/IJAHUC.2013.054016
Volume: 13
Issue: 1
Begin Page: 48
End Page: 58
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