Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/4075
Title: Big Data platform selection at a hospital: A Rembrandt system application
Authors: Singh, Sudhanshu
Verma, Rakesh
Koul, Saroj
Keywords: Big data
REMBRANDT method
Multi-criteria decision-making
Hospital IT infrastructure
Issue Date: Jan-2021
Publisher: Springer, Singapore
Citation: Singh S., Verma R., Koul S. (2021) Big data platform selection at a hospital: A rembrandt system application. In M.K. Sharma et al. (Eds.) Innovations in Computational Intelligence and Computer Vision (pp.130-140). Singapore, Springer.
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.
URI: http://hdl.handle.net/10739/4075
https://doi.org/10.1007/978-981-15-6067-5_16
Appears in Collections:JGU Research Publications

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