Tom has a PhD in mathematics and is currently the Information Theme Lead for the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London at Imperial College, and a Health Foundation Improvement Science Fellow.
Tom has first-hand experience working on around 70 multidisciplinary healthcare research and improvement projects at CLAHRC. His research interests are in quantitative aspects of evaluation of complex interventions, and in how best to foster good measurement in improvement work. Tom uses statistical and data science methods to capture learning from large datasets, to inform improvement in health and care services.
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et al., 2020, A modified Delphi study to identify the features of high quality measurement plans for healthcare improvement projects, Bmc Medical Research Methodology, Vol:20, ISSN:1471-2288
et al., 2019, Improving the quality of care for patients with or at risk of atrial fibrillation: an improvement initiative in UK general practices, Open Heart, Vol:6, ISSN:2053-3624
Woodcock T, Liberati E, Dixon-Woods M, A mixed-methods study of challenges experienced by clinical teams in measuring improvement, Bmj Quality and Safety, ISSN:2044-5415
et al., 2019, Better use of data to improve parent satisfaction (BUDS): protocol for a prospective before-and-after pilot study employing mixed methods to improve parent experience of neonatal care, Bmj Paediatrics Open, Vol:3, ISSN:2399-9772
et al., 2019, Evolving quality improvement support strategies to improve Plan-Do-Study-Act cycle fidelity: a retrospective mixed methods study, Bmj Quality and Safety, Vol:28, ISSN:2044-5415, Pages:356-365