Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System
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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.
Abstract
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.
참고문헌 (18)
- "IBM’s smarter cities challenge: Syracuse" (2011)[URL]
- "Big data: the next frontier for innovation, competition, and productivity" (2011)[URL]
- Broekema PC, "DOME: towards the ASTRON & IBM center for exascale technology", Proceedings of the 2012 Workshop on High-Performance Computing for Astronomy, pp.1~4 (2012)
- Ohlhorst FJ, "Big data analytics: turning big data into big money" (2013), John Wiley & Sons
- "What does ‘big data’ mean?" (2012)[URL]
- Financial burden of medical care: early release of estimates from the National Health Interview Survey, January-June 2011, "Cohen RA", Centers of Disease Control and Prevention, ~ (2012)
- Losing ground: how the loss of adequate health insurance is burdening working families. Findings from the Commonwealth Fund Biennial Health Insurance Surveys, 2001-2007, "Collins SR", The Commonwealth Fund, ~ (2008)
- "Public health care in UK faces major problems" (2010)[URL]
- 이윤태, "Ubiquitous Health in Korea: Progress, Barriers, and Prospects", Healthcare Informatics Research, 18(4), pp.242~251 (2012), 대한의료정보학회
- The Economist, "Connect to care: the future of healthcare IT in South Korea" (2011), The Economist Intelligence Unit Limited
- Masako Li, "Key issues in Japanese health care", PECC International Workshop on Social Resilience (2011)
- Chen H, "Business intelligence and analytics: from big data to big impact", MIS Q, 36(4), pp.1165~1188 (2012)
- Groves P, "The big data revolution in healthcare: accelerating value and innovation" (2013), McKinsey Global Institute
- Office of Science and Technology Policy, Executive Office of the President of the United States, "The Obama administration unveils the “big data” initiative: announces $200 million in new R&D investments", Executive Office of the President, ~ (2012)
- Office of Science and Technology Policy, Executive Office of the President of the United States, "Big data across the federal government", Executive Office of the President, ~ (2012)
- President’s Council on National ICT Strategies, "Establishing a smart government by using big data", President’s Council on National ICT Strategies, ~ (2011)
- Accenture, "Build it and they will come?" (2012), Accenture