Mining routinely collected acute data to reveal non-linear relationships between nurse staffing levels and outcomes
Journal article
Leary, A, Cook, R, Jones, S, Smith, S, Maxwell, E, Punshon, G and Radford, M (2016). Mining routinely collected acute data to reveal non-linear relationships between nurse staffing levels and outcomes. BMJ Open. 6 (12). https://doi.org/10.1136/bmjopen-2016-011177
Authors | Leary, A, Cook, R, Jones, S, Smith, S, Maxwell, E, Punshon, G and Radford, M |
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Abstract | Report of a study of routinely collected data in one NHS hospital that revealed hitherto unrecognised patterns between nurse staffing and patient outcomes |
Keywords | Nurse staffing; Data science; Data mining; Math modelling |
Year | 2016 |
Journal | BMJ Open |
Journal citation | 6 (12) |
Publisher | BMJ |
ISSN | 2044-6055 |
Digital Object Identifier (DOI) | https://doi.org/10.1136/bmjopen-2016-011177 |
Publication dates | |
16 Dec 2016 | |
Publication process dates | |
Deposited | 12 Jun 2017 |
Accepted | 31 Aug 2016 |
Accepted author manuscript | License File Access Level Open |
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https://openresearch.lsbu.ac.uk/item/8713x
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Accepted author manuscript
FINALDec2016bmjopen-2016-011177 (2).pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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