Influential Factors of Knowledge Sharing of Multinational E-Health Service Based on 24HrKF

Influential Factors of Knowledge Sharing of Multinational E-Health Service Based on 24HrKF

Huosong Xia (Wuhan Textile University, Wuhan, China), Gan Xiong (Wuhan Academy of Educational Science, Wuhan, China) and Juan Weng (Wuhan Textile University, Wuhan, China)
Copyright: © 2020 |Pages: 22
DOI: 10.4018/JGIM.2020100104

Abstract

In order to solve the problem of cross-time and cross-regional medical collaboration and distributed knowledge sharing across patients and medical teams for 24 hours a day in the context of global resource allocation, a new 24HrKF e-health service model is proposed and a key knowledge model of 24HrKF e-health team knowledge sharing is established based on existing research results combined with 24HrKF distributed team characteristics. Finally, the questionnaire data of 338 multinational medical team members are used to verify the impact of key factors on the knowledge sharing of medical teams. The results shows that factors such as information and communication technology, the hospital's cultural characteristics, cross-cultural communication, medical knowledge and skills, and trust all have a significantly positive impact on knowledge sharing among team members especially information and communication technology and medical knowledge and skills. However, the degree of time-span separation across time zones has no significant effect on the knowledge sharing among team members.
Article Preview
Top

1. Introduction

With the rapid development of information technology, the scope of global information sharing has been continuously expanding. The medical data is increasing day by day, and there is growing focus on how such data can be used to measure and improve health care (Kumar, Vimala, & Aravind Britto, 2019; Bates, Heitmueller, & Saria, 2018). However, health care informatics is undergoing a revolution (Hassan, El Desouky, Elghamrawy, & Sarhan, 2018). Even though the cost of health care continues to grow worldwide (Razmak, Bélanger, & Farhan, 2018), but the potential for improving health and health care through bringing together multiple sources of data are great (Bates et al., 2018). E-health as a response to the voluminous data available in the health care sector, is driven and developed by the information technology generation, and has been applied in many aspects (Razmak et al., 2018). For example, “Zhuling” has been treated by medical experts around the world with the help of the Internet, “Ebola” and HIV have received great attention and been focused on prevention through social media (Chan & Ghose, 2014), information technology links the world's excellent medical resources and supplements the insufficiency of regional medical level (Srivastava & Shainesh, 2015). The establishment and popularization of System of Medical Reports increases medical efficiency (Dessì, Reforgiato Recupero, Fenu, & Consoli, 2018). And there are many e-health applications such as mobile health, health on the internet, health information systems, clinical decision support systems and others (Leung & Chen, 2019). Regardless of individual disease diagnosis, or medical information sharing, or efficiency of national medical resource allocation and global medical synergy, the e-health model can not only enhance the prevention and treatment of diseases, achieve good social benefits, but also bring huge economic benefits.

At present, e-health care is in the stage of development and promotion. Current researches on e-health are mainly focused on regional e-health cooperation (Bao, Ke, &Wei, 2014; Tsuruya, Kawashima, Shiozuka, Nakanishi, & Sugiyama, 2018), the use and promotion of medical information systems and electronic health file systems (Kuwabara, Yagahara, & Ogasawara, 2018; Su, He, Guan, Jiang, & Yang, 2017; Razmak et al., 2018), control of medical risks(Su et al., 2017) and personal medical information sharing (Lee, Lu, Yang, & Chang, 2019). However, there is not only a lack of systematic thinking from the perspective of global resource allocation to study knowledge sharing among patients and medical teams in the context of globalization, asynchronization, cross-time and distributed, but also a lack of thinking from the perspective of all-day, cross-time and cross-cultural global medical collaboration among patients and medical teams in the context of globalization. And it is critical for real-world applicability to situate e-Health systems within the context-specific needs (Calvillo-Arbizu et al., 2019). Therefore, how to solve the problem of all-day, cross-time, cross-regional medical collaboration and distributed knowledge sharing among patients and medical teams under the background of global resource allocation? How to optimize the efficiency of e-health cooperation in the context of globalization?

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 29: 6 Issues (2021): 3 Released, 3 Forthcoming
Volume 28: 4 Issues (2020)
Volume 27: 4 Issues (2019)
Volume 26: 4 Issues (2018)
Volume 25: 4 Issues (2017)
Volume 24: 4 Issues (2016)
Volume 23: 4 Issues (2015)
Volume 22: 4 Issues (2014)
Volume 21: 4 Issues (2013)
Volume 20: 4 Issues (2012)
Volume 19: 4 Issues (2011)
Volume 18: 4 Issues (2010)
Volume 17: 4 Issues (2009)
Volume 16: 4 Issues (2008)
Volume 15: 4 Issues (2007)
Volume 14: 4 Issues (2006)
Volume 13: 4 Issues (2005)
Volume 12: 4 Issues (2004)
Volume 11: 4 Issues (2003)
Volume 10: 4 Issues (2002)
Volume 9: 4 Issues (2001)
Volume 8: 4 Issues (2000)
Volume 7: 4 Issues (1999)
Volume 6: 4 Issues (1998)
Volume 5: 4 Issues (1997)
Volume 4: 4 Issues (1996)
Volume 3: 4 Issues (1995)
Volume 2: 4 Issues (1994)
Volume 1: 4 Issues (1993)
View Complete Journal Contents Listing