Abstract
There is a lack of data on mental health service utilisation and outcomes for people with experience of forced migration living in the UK. Details about migration experiences documented in free-text fields in electronic health records might be harnessed using novel data science methods; however, there are potential limitations and ethical concerns.
| Original language | English |
|---|---|
| Pages (from-to) | 305-307 |
| Number of pages | 3 |
| Journal | British Journal of Psychiatry |
| Volume | 225 |
| Issue number | 2 |
| Early online date | 30 Jul 2024 |
| DOIs | |
| Publication status | Published - 1 Aug 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Electronic health records
- epidemiology
- machine learning methods
- mental health services
- social deprivation
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