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Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System

OBJECTIVES: The main purpose of this study was to explore whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on. METHODS: By providing an overview of the current state of big data app...

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Detalles Bibliográficos
Autores principales: Jee, Kyoungyoung, Kim, Gang-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717441/
https://www.ncbi.nlm.nih.gov/pubmed/23882412
http://dx.doi.org/10.4258/hir.2013.19.2.79
Descripción
Sumario:OBJECTIVES: The main purpose of this study was to explore whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on. METHODS: By providing an overview of the current state of big data applications in the healthcare environment, this study has explored the current challenges that governments and healthcare stakeholders are facing as well as the opportunities presented by big data. RESULTS: Insightful consideration of the current state of big data applications could help follower countries or healthcare stakeholders in their plans for deploying big data to resolve healthcare issues. The advantage for such follower countries and healthcare stakeholders is that they can possibly leapfrog the leaders' big data applications by conducting a careful analysis of the leaders' successes and failures and exploiting the expected future opportunities in mobile services. CONCLUSIONS: First, all big data projects undertaken by leading countries' governments and healthcare industries have similar general common goals. Second, for medical data that cuts across departmental boundaries, a top-down approach is needed to effectively manage and integrate big data. Third, real-time analysis of in-motion big data should be carried out, while protecting privacy and security.