Singh, Sudhanshu, Verma, Rakesh and Koul, Saroj (2021) Big data platform selection at a hospital: A rembrandt system application. In: Innovations in Computational intelligence and computer vision proceedings of ICICV 2020, 2020, Manipal University Jaipur, Rajasthan, India.
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Abstract
Hospitals form a vital component of investment in the healthcare of any nation. A hospital can operate on a standalone basis or as a component in a network of providers of healthcare. Big data in hospitals, is created through interactions and transactions among and between health service providers and patients whether it is the first time or a recurring visit and gets captured in real-time or afterwards through channels such as notes, machine-to-machine interaction and social media. There is limited literature available on the application of multi-criteria decision aiding tools for healthcare IT infrastructure, especially in the context of a country like India. This paper exhibits implementation of the REMBRANDT system for selection of a big data platform in a healthcare context in India.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | Big data | Rembrandt method | Multi-criteria decision-making | Hospital IT infrastructure |
Subjects: | Social Sciences and humanities > Economics, Econometrics and Finance > Statistics and Probability Physical, Life and Health Sciences > Public Health, Environmental and Occupational Health Social Sciences and humanities > Social Sciences > Health (Social sciences) |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Admin Library |
Date Deposited: | 16 Nov 2021 10:39 |
Last Modified: | 07 Jan 2022 18:55 |
Official URL: | https://doi.org/10.1007/978-981-15-6067-5_16 |
Additional Information: | Presents selected works by active researchers in the fields of computational intelligence and computer vision. Gathers the outcomes of the ICICV 2020, hosted by Manipal University Jaipur, Rajasthan, India. Serves as a reference guide for researchers and practitioners in academia and industry. |
URI: | https://pure.jgu.edu.in/id/eprint/30 |
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