Identifying and prioritizing critical factors for promoting the implementation and usage of big data in healthcare
Abstract
Big data is expected to provide many benefits to healthcare organizations through cost reduction, disease prediction, and patient care improvement. Big data in healthcare at a nascent stage faces many challenges in satisfying expectations. This study investigates factors for promoting the implementation and usage of big data in healthcare in Korea, using an analytical hierarchy process (AHP). We established a research framework that considers four domains and 15 factors. We collected data by a survey of experts engaged in big data and healthcare IT. The results show that data and organization have greater impacts than technology and support domains. Organizational analytics capability, data quality, data privacy and security, organizational application capability, data standardization, and data experts are the most important factors for promoting the implementation and usage of big data in healthcare. The study presents the implications in terms of the policies and ecosystem for countries, including Korea, which intend to activate big data in healthcare.
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Data Science is critical in monitoring patients' health and informing essential measures to avoid potential illnesses.
“Data Science is critical in monitoring patients' health and informing essential measures to be made to avoid potential illnesses from occurring.”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [147]
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- Authors
- Kim, M.-K., & Park, J.-H.
- Affiliations
- Electronics and Telecommunications Research Institute (KR)
- Corresponding author
- Kim, Moon-Koo
- Venue
- Information Development
- Publisher
- SAGE Publications
- Published
- 2016-06-15
- Volume
- 33
- Issue
- 3
- Pages
- 257-269
- ISSN
- 0266-6669 (ISSN-L)
- 1741-6469
- OpenAlex
- W2426102995
- Cited by
- 59
- References
- 31
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 11 · 2022: 6 · 2021: 11 · 2020: 4 · 2019: 7 · 2018: 6 · 2017: 3
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Development (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- big data in healthcare, big data implementation, health information technology, data quality, data privacy and security, data standardization, big data ecosystem, big data policy, Korea
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