Adam is responsible for developing and leading our Data Analytics for Better Health strategy, which aims to ensure that everybody in the UK benefits from advances in analytics and data-driven technologies such as artificial intelligence.
Since joining the Health Foundation in 2014, Adam has established an innovative team that uses data to tackle pressing problems affecting the health of the UK. Together we produce open-source tools and approaches that can be used by others, and champion better analytics across the health and social care system. We also design and deliver large-scale initiatives that use data to improve health, such as the Networked Data Lab and Improvement Analytics Unit. Our research and analysis regularly informs national policy, and we share what we know about how to maximise the benefit of health data and data-driven technologies.
Before joining the Health Foundation, Adam was a senior analyst at the Nuffield Trust where he led some of the first projects that brought together health and social care data in the UK. He was a Harkness Fellow in Health Care Policy and Practice at Yale University in 2013, where he examined the use of technology to improve care for people with heart failure. Between 2004 and 2008, the economic modelling Adam produced at the Pensions Policy Institute informed the development of the pensions legislation. Adam studied mathematics at Cambridge University and the Massachusetts Institute of Technology and has a PhD in health services research from the London School of Hygiene and Tropical Medicine.
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- Lloyd T, Deeny S, and Steventon A. Weekend admissions may be associated with poorer recording of long-term comorbidities: a prospective study of emergency admissions using administrative data, BMC Health Serv Res. 2018; 18: 863.
- Deeny SR, Steventon A. Making sense of the shadows: priorities for creating a learning healthcare system based on routinely collected data. 2015. BMJ Quality and Safety 2015. Online first.
- Steventon A, Grieve R, Bardsley M. An approach to assess generalizability in comparative effectiveness research: a case study of the Whole Systems Demonstrator cluster randomized trial comparing telehealth with usual care for patients with chronic health conditions. Medical Decision Making 2015. Online first.
- Steventon A, Grieve R, Sekhon JS. A comparison of alternative strategies for choosing control populations in observational studies. Health Services and Outcomes Research Methodology. 2015. doi:10.1007/s10742-014-0135-8.
- Steventon A and Krumholz H. Does US health reform reduce hospital readmission rates? BMJ 2014;348:g2641.
- Steventon A, Bardsley M, Mays N. Effect of a telephonic alert system (Healthy Outlook) for patients with chronic obstructive pulmonary disease: cohort study with matched controls. J Public Health (Oxf) 2014 Jul 10. pii: fdu042. [Epub ahead of print]
- Steventon A, Tunkel S, Blunt I, Bardsley M. Effect of telephone health coaching (Birmingham OwnHealth®) on hospital use and associated costs: a retrospective cohort study with matched controls. BMJ 2013; 347:f4585.
- Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Beynon M, et al. Effect of telecare on use of health and social care services: findings from the Whole Systems Demonstrator cluster randomised trial. Age and Ageing 2013; 0:1–8.
- Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Hirani S, Cartwright M, Rixon L, Knapp M, Henderson C, Rogers A, Fitzpatrick R, Hendy J, Newman S. Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ 2012; 344:e3874.
- Steventon A, Bardsley M, Billings J, Georghiou T, Lewis GH. The Role of Matched Controls in Building an Evidence Base for Hospital-Avoidance Schemes: A Retrospective Evaluation. Health Services Research 2012; 47:1679-98.