Mining routinely collected acute data to reveal non-linear relationships between nurse staffing levels and outcomes

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Mining routinely collected acute data to reveal non-linear relationships between nurse staffing levels and outcomes

OBJECTIVES Nursing is a safety critical activity but not easily quantified. This makes the building of predictive staffing models a challenge. The aim of this study was to determine if relationships between registered and non-registered nurse staffing levels and clinical outcomes could be discovered through the mining of routinely collected clinical data. The secondary aim was to examine the fe...

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ژورنال

عنوان ژورنال: BMJ Open

سال: 2016

ISSN: 2044-6055,2044-6055

DOI: 10.1136/bmjopen-2016-011177