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Operations-Intelligence-Strategy (OIS) Process in Healthcare

Operations-Intelligence-Strategy (OIS) Process in Healthcare

Xue Ning
Copyright: © 2020 |Pages: 18
ISBN13: 9781799823100|ISBN10: 1799823105|ISBN13 Softcover: 9781799823131|EISBN13: 9781799823117
DOI: 10.4018/978-1-7998-2310-0.ch004
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MLA

Ning, Xue. "Operations-Intelligence-Strategy (OIS) Process in Healthcare." Theory and Practice of Business Intelligence in Healthcare, edited by Jiban Khuntia, et al., IGI Global, 2020, pp. 88-105. https://doi.org/10.4018/978-1-7998-2310-0.ch004

APA

Ning, X. (2020). Operations-Intelligence-Strategy (OIS) Process in Healthcare. In J. Khuntia, X. Ning, & M. Tanniru (Eds.), Theory and Practice of Business Intelligence in Healthcare (pp. 88-105). IGI Global. https://doi.org/10.4018/978-1-7998-2310-0.ch004

Chicago

Ning, Xue. "Operations-Intelligence-Strategy (OIS) Process in Healthcare." In Theory and Practice of Business Intelligence in Healthcare, edited by Jiban Khuntia, Xue Ning, and Mohan Tanniru, 88-105. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2310-0.ch004

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Abstract

The healthcare industry has generated a huge amount of data in diverse formats. The big data in healthcare is leading the revolution in healthcare. Collecting data at the operational level is the starting point for the big data-driven healthcare revolution. By analyzing the operational level big data, healthcare organizations can gain the business intelligence for further strategy development, for example how to improve the healthcare quality, how to provide better long-term care, and how to empower the patients. This chapter discusses this process as operations-intelligence-strategy (OIS) process in healthcare. Objectives are understanding how to gain business intelligence from sensor data mining in healthcare, biomedical signal analysis, and biomedical image analysis, and exploring the applications and impacts of the OIS process, with a focus on the sensor data mining in healthcare.

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