Talk: 

Harnessing the potential of data linkage to improve mental health treatment

Jae Won Suh is a Research Fellow in Mental Health Data Science at University College London, experienced in using a range of administrative and clinical datasets for health research.

Profile:  https://profiles.ucl.ac.uk/92373-jae-won-suh/about

Jae’s background is in cardiovascular epidemiology, and her research interests are in using linked physical and mental health datasets to identify patients with physical health conditions who are at risk of poorer outcomes and access to mental health treatment.

In this talk, Jae will outline the benefits and challenges of using linked datasets for research, with a focus on the field of mental health. This includes research findings that identify people at higher risk of poorer access to and outcomes from psychological treatment, as well as how data linkage offers unique insights and new perspectives on addressing mental health inequalities.

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About the Mental Health Theme Webinar Series 

Using data science to identify and reduce inequalities in mental health care. 

There are known inequalities in access to mental health treatment across different groups of people. There are also observed differences in the likelihood of benefitting from treatment for those who are able to access support. As the number of people who are suffering from mental health disorders is increasing globally, there are concerns this will further exacerbate these inequalities.  Advances in data science have the potential to identify those most at risk, and how we might provide better care for these groups. 

This webinar series brings together researchers and clinicians working in mental health to hear about ways in which data science might be used to support how treatments are provided.