Dilemmas of e-rostering old and new: towards intelligent systems?

DRAKE, Robert (2019). Dilemmas of e-rostering old and new: towards intelligent systems? Nursing Times, 115 (6), 19-23.

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Abstract

By 2021, the NHS wants all clinical staff to be rostered electronically. If staff are to be empowered, they need more control over their roster but this is impossible if the algorithms governing the roster are hidden behind a veil of complexity. Ironically, the solution may be to make e-rostering systems even smarter by using machine learning and predictive analytics. Following on from an article published in 2014, this article takes stock of the progress made in, and the new challenges posed by, the adoption of e-rostering

Item Type:	Article
Page Range:	19-23
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	26 Feb 2019 10:19
Last Modified:	18 Mar 2021 02:33
URI:	https://shura.shu.ac.uk/id/eprint/24119

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