Big Health Data Research

Botnar

We are interested in studying the burden of musculoskeletal conditions to the NHS, other national healthcare systems, and to the whole society.

We explore routinely collected data as a primary source to understand the frequency, magnitude, and factors associated with both prevalent and rare musculoskeletal conditions.

This approach enables us to understand the natural history of complex conditions such as arthritis (osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, amongst others) or bone diseases such as osteoporosis and its main complication, fragility fractures.

We use complex statistical modelling techniques to disentangle the causes underlying the observed associations, and to provide clinicians, commissioners, and patients with reliable information on the relevance of each particular condition from different perspectives.

As part of this, we have established a number of international collaborations with world experts in bioinformatics, statistics, epidemiology, rheumatology, and orthopaedic surgery. With them, we try to improve not only the amount and the quality of data available, but also the methods used to analyse and interpret old and newly gathered information.

Our team

Daniel Prieto-Alhambra

Professor of Pharmaco- and Device Epidemiology
Andrew Judge

Honorary Departmental Professor
Victoria Y Strauss

Lead Statistician
Antonella Delmestri

Senior Health Data Scientist
Paloma O'Dogherty Cordero

GRANTS ASSISTANT
Rafael Pinedo Villanueva

Associate Professor
Samuel Hawley

Epidemiologist / Statistician
Gulraj Matharu

Honorary Clinical Research Fellow in Orthopaedics
Sara Khalid

University Research Lecturer, Senior Research Associate in Biomedical Data Science