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Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis
برنامه های کاربردی داده های بزرگ پزشکی: اثرات متقابل و منابع موثر استراتژی تخصیص شناخته شده از طریق تجزیه و تحلیل IRA-NRM-2018 The development of information and communication technology has led to the rapid growth of medical data
encountered by various players in healthcare industry. This evolution from a paper-based database to electronic
records demonstrates the continuous advancement of medical information systems. Medical institutions are
paying more attention to this issue and attempting to figure out the applications of big data. However, most of
them have struggled to find pathways to apply big data adequately. Using hybrid methodologies and examining
Taiwans healthcare industry, this research aims to assess, forecast and summarize the major applications of
medical big data, and establish strategic pathways for medical institutions to follow regarding different di
mensions of applications. First, a review of literature related to the utility of medical big data and interviews
with relevant stakeholders were conducted. Content analysis was subsequently done to extract the key appli
cations, and DEMATEL was used to find out their Net Relation Map (NRM). With the Innovation Importance
Resistance Analysis (IRA), this study carried out IRA-NRM analysis to cultivate the strategy of medical big data
development. This research concluded a IRA-NRM framework of 4 application categories and 16 factors.
Suggestions for medical institutions regarding the use of medical big data are also provided.
Keywords: Medical big data ، Application development ، Health technology assessment ، Health technology forecasting ، Innovation Importance-Resistance Analysis ، (IRA) ، Net Relation Map (NRM) |
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