The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System
Open accessAbstract
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.
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Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
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The use of Big Data Analytics in healthcare
Batko, K., & Ślęzak, A. (2022) · Journal of Big Data · doi:10.1186/s40537-021-00553-4 · Cited by 593
Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P. M., Sundarasekar, R., & Thota, C. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.045 · Cited by 512
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504
Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
Exploring the path to big data analytics success in healthcare
Wang, Y., & Hajli, N. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.002 · Cited by 429
Metadata
- Authors
- Jee, K., & Kim, G.-H.
- Venue
- Healthcare Informatics Research
- Published
- 2013
- Volume
- 19
- Issue
- 2
- Pages
- 79
- ISSN
- 2093-3681 (ISSN-L)
- 2093-369X
- OpenAlex
- W2036374593
- Cited by
- 243
- References
- 1
- FWCI
- 33.91
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jee, K., & Kim, G.-H. (2013). Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System. Healthcare Informatics Research. https://doi.org/10.4258/hir.2013.19.2.79
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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