Dr Cook is a quantitative researcher with a background in experimental and data science and has been engaged with the analysis of health data since 2015. His research in the faculty focuses on apply the emerging machine learning, and data science techniques to aid policy makers, operational managers, and front line staff to draw knowledge out of the rapidly growing silos of data NHS trusts produce.
At present, Dr Cook’s research is focused on the field of ‘Safe Staffing’ – aiming to identify patterns in staffing compliment and nurse staffing ratios which result in improved safety and patient outcomes.
Dr Cook will shortly begin his new role as Lead Analyst on the “NuRS – Nurse Retention and Safety” programme funded by the Health Foundation. Drawing together routinely collected big-data spanning multiple trusts, specialities and parameters – the project will aim to identify key patterns and signals that may be leveraged to avoid the growing staff retention crisis of the NHS, and protect staff and patients from adverse events.
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