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Author:

Yuan, Ye (Yuan, Ye.) | Jia, Kebin (Jia, Kebin.) (Scholars:贾克斌) | Sun, Zhonghua (Sun, Zhonghua.)

Indexed by:

EI Scopus

Abstract:

With the development of healthcare technology and medical standard, the demands of the quality and efficiency of mobile nursing are increased significantly, hence it is necessary to improve hospital nursing mechanism dealing with massive tasks. In this paper, we develop an optimized mobile nursing system based on the specific nurse workflow analysis in obstetrics. An efficient integration system framework is proposed combined with existing hospital common systems and WLAN network environment, which implements automatically execute data interaction. A combination model of C/S using PDA on hand and B/S using PC working at nurse workstation is implemented which ensure the mobility and centrality. A lighten AJAX-SSH2 development framework is used to enhance the function expansibility. The proposed system has been applied in a regional obstetrics hospital in China. Practical clinical application results prove that the proposed system can raise nursing efficiency and reduce medical error rate, make it possible to nurses paying more attention on patients. The healthcare big data collected by this system has considerable value for further research. © 2016 IEEE.

Keyword:

Obstetrics Hospitals Nursing Efficiency mHealth

Author Community:

  • [ 1 ] [Yuan, Ye]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Yuan, Ye]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 3 ] [Jia, Kebin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Jia, Kebin]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 5 ] [Sun, Zhonghua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 6 ] [Sun, Zhonghua]Beijing Laboratory of Advanced Information Networks, Beijing, China

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Source :

Year: 2016

Page: 717-720

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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