Alan is a translational research scientist providing project and research management; focussing data collection, analysis, and programme evaluation.
In his current role as Principal Information Analyst at National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North West London (NIHR CLAHRC NWL), at the Chelsea and Westminster Campus, Alan supports clinical teams with the application of quality improvement techniques. He has interests in improvement science, systems thinking, applied statistics, data visualisations including geo-spatial and temporal analyses of variation; emergency flow data analyses; and public engagement with science. Alan has advanced applied statistical knowledge (including GLM, MNL, and CART) and GIS experience. He previously worked as a quantitative and qualitative researcher in the tourism sector.
Alan read Biological Sciences followed by MSc Biodiversity, Conservation and Management at Hertford College, University of Oxford, and PhD Ecology and Environmental Economics at the University of Reading. He is a Fellow of the Linnean Society of London.
Poots AJ, Jubraj B, Barnett NL, 2017, Education around deprescribing: 'spread and embed' the story so far, European Journal of Hospital Pharmacy-science and Practice, Vol:24, ISSN:2047-9956, Pages:7-9
et al., 2015, A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme., Bmj Open, Vol:5
et al., 2014, Is number sense impaired in chronic pain patients?, Br J Anaesth, Vol:113, Pages:1024-1031
et al., 2014, Using geographical information systems and cartograms as a health service quality improvement tool., Spatial and Spatio-temporal Epidemiology, Vol:10, ISSN:1877-5845, Pages:67-74
et al., 2014, Model-driven approach to data collection and reporting for quality improvement, Journal of Biomedical Informatics, Vol:52, ISSN:1532-0464, Pages:151-162
et al., 2014, Improving mental health outcomes: achieving equity through quality improvement., Int J Qual Health Care, Vol:26, Pages:198-204
et al., 2012, Using routine geo-coded data to identify geographical heterogeneity to reduce disparities: Case studies in UK, Gis: Proceedings of the Acm International Symposium on Advances in Geographic Information Systems, Pages:40-43
et al., 2013, Mapping mental health service access: achieving equity through quality improvement, Journal of Public Health, Vol:35, ISSN:1741-3842, Pages:286-292
Poots AJ, Woodcock T, 2012, Statistical process control for data without inherent order, BMC Medical Informatics and Decision Making, Vol:12, ISSN:1472-6947