Health Informatics and Electronic Health Records
What we do
The team includes epidemiologists and statisticians who work on a range of clinical and methodological topics in collaboration with colleagues in London, UK and around Europe.
Using different data sources and methods we work on topics such as:
- Does antidepressant treatment in pregnancy increase the risk of congenital heart defects?
- What is the incidence and prevalence of type 2 diabetes in the UK and how is it pharmacologically managed?
- Is it possible to predict postnatal depression using pregnant women's electronic health records?
- How many people are prescribed antibiotics in a year, and how many antibiotics are they prescribed?
- Does diabetes mellitus increase the risk of caesarean section?
- Does smoking increase the risk of schizophrenia?
- Common infections in patients prescribed systemic glucocorticoids.
- New methods to deal with missing data.
Some recent publications
- Pedersen AB, Mikkelsen, EM, Cronin-Fenton D, Kristensen NR, Pham, TM, Pedersen L, Petersen I (2017). Missing data and multiple imputation in clinical epidemiological research. Clinical Epidemiology 9:157-166.
- Petersen I, Douglas I, Whitaker H (2016). Self controlled case series methods: an alternative to standard epidemiological study designs. BMJ.
- Petersen I, McCrea RL, Sammon CJ, Osborn DPJ, Evans SJ, Cowen PJ, Freemantle N, Nazareth I (2016). Risks and benefits of psychotropic medication in pregnancy: cohort studies based on UK electronic primary care records. Health Technology Assessment 20(23).
- Sharma M, Petersen I, Nazareth I, Coton SJ (2016). An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database. Clinical Epidemiology 8:373-380.
See also a full list of publications.
- May 2017: Communicating risks and evidence to patients in a clear and balanced way - presented by Alex Freeman from the Winton Centre for Risk and Evidence Communication (slides)