Imperial College London

Alex Bottle

Faculty of MedicineSchool of Public Health

Reader in Medical Statistics



+44 (0)20 7594 0913robert.bottle Website




3 Dorset Rise, London EC4Y 8ENCharing Cross HospitalCharing Cross Campus





Many of us rely on our local hospital, but how do we know if it's safe? Or better than the other one down the road? Every year we expect our healthcare system to treat more patients with more problems and to ever higher standards. We clearly need useable information on performance. The NHS benefits from huge but complex databases, and it's my job to help doctors, managers and patients make sense of them.

After secondment to the public inquiry into the crimes of GP Harold Shipman, I devised the statistical methodology behind the flagship information tool of our commercial partners, Dr Foster. With my analysis, this tool correctly identified Mid Staffordshire NHS Trust as having unacceptably high death rates and was a trigger for the national regulator to investigate. My research today continues to measure and monitor the quality of healthcare in hospital and in the community for patients with chronic disease such as heart failure and COPD using databases such as HES and CPRD. My heart failure work was cited in the 2019 NHS Long-term Plan.

Among my teaching roles, I am the Academic Lead for my "Statistical Analysis with R for Public Health" specialisation that's now live on Coursera and is part of Imperial's forthcoming online Global MPH. I am also on the Programme Board responsible for the degree's delivery. As a consultant, I train the UK public sector on statistical thinking and data analysis to improve staff effectiveness. 



Saxena S, Cecil E, Majeed A, et al., The impact of smoking and smoking-cessation on disease outcomes in Ulcerative Colitis: a nationwide population-based study, Alimentary Pharmacology and Therapeutics, ISSN:0269-2813

Arhi CS, Ziprin P, Bottle A, et al., 2019, Colorectal cancer patients under the age of 50 experience delays in primary care leading to emergency diagnoses: a population-based study, Colorectal Disease, ISSN:1462-8910

Spinazze P, Bottle A, Car J, 2019, Digital health sensing for personalized dermatology, Sensors, Vol:19, ISSN:1424-2818, Pages:1-4

Ali AM, Bottle A, 2019, The Validity of All-Cause 30-Day Readmission Rate as a Hospital Performance Metric After Primary Total Hip and Knee Arthroplasty: A Systematic Review, Journal of Arthroplasty, Vol:34, ISSN:0883-5403, Pages:1831-1836

Price C, Williams ACDC, Smith BH, et al., 2019, The National Pain Audit for specialist pain services in England and Wales 2010-2014, British Journal of Pain, Vol:13, ISSN:2049-4637, Pages:185-193

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