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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.

Big health data research

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

User Group Representatives

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NDORMS Information Security Policy

InformationSecurityPolicy

We deal with large volumes of sensitive data and gained NHS Information Governance Toolkit certification in 2015 to give assurance to data providers. It works within information governance policies for the whole department.

Selected publications

Related research themes

Statistics and Epidemiology
Statistics and Epidemiology
Immunity and Microbiome
Immunity and Microbiome
Rehabilitation and Self-Management
Rehabilitation and Self-Management
Orthopaedics and Trauma
Orthopaedics and Trauma