This paper exhibits implementation of the REMBRANDT system for selection of a big data platform in a healthcare context in India.
Authors
Saroj Koul, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Sudhanshu Singh, NITIE, Mumbai, India.
Rakesh Verma, NITIE, Mumbai, India.
Summary
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 realtime 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.
Published in: Sharma M.K., Dhaka V.S., Perumal T., Dey N., Tavares J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision. Advances in Intelligent Systems and Computing, vol 1189. Springer, Singapore.
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