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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Improving staff selection processes
Marie Cerinus1, Marina Shannon
1NMAHP Practice Development Centre, NHS Lanarkshire, Hamilton, Scotland.
Abstract:
This article, the second in a series of articles on Leading Better Care, describes the actions undertaken in recent years in NHS Lanarkshire to improve selection processes for nursing, midwifery and allied health professional (NMAHP) posts. This is an area of significant interest to these professions, management colleagues and patients given the pivotal importance of NMAHPs to patient care and experience. In recent times the importance of selecting staff not only with the right qualifications but also with the right attributes has been highlighted to ensure patients are well cared for in a safe, effective and compassionate manner. The article focuses on NMAHP selection processes, tracking local, collaborative development work undertaken to date. It presents an overview of some of the work being implemented, highlights a range of important factors, outlines how evaluation is progressing and concludes by recommending further empirical research.
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