Lending a hand: Could machine learning help hospital staff make better use of patient feedback?

Chris Gibbons; Felix Greaves

doi:10.1136/bmjqs-2017-007151

Lending a hand: Could machine learning help hospital staff make better use of patient feedback?

Chris Gibbons^*, Felix Greaves

^*Corresponding author for this work

Research output: Contribution to journal › Editorial

7 Citations (Scopus)

Original language	English
Pages (from-to)	93-95
Number of pages	3
Journal	BMJ Quality and Safety
Volume	27
Issue number	2
DOIs	https://doi.org/10.1136/bmjqs-2017-007151
Publication status	Published - 1 Feb 2018

Keywords

accreditation
anaesthesia
attitudes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1136/bmjqs-2017-007151

Cite this

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title = "Lending a hand: Could machine learning help hospital staff make better use of patient feedback?",

keywords = "accreditation, anaesthesia, attitudes",

author = "Chris Gibbons and Felix Greaves",

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AU - Greaves, Felix

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KW - accreditation

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Lending a hand: Could machine learning help hospital staff make better use of patient feedback?

Keywords

UN SDGs

Access to Document

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Cite this