
About
Tetyana Perchyk serves as a Research Fellow in Health Data Science at the University of Surrey's School of Health Sciences, focusing on leveraging electronic health records to address systemic health disparities. Her work directly impacts methodologies for identifying marginalized populations in primary care datasets.
Her research priorities include:
- Development of comprehensive codelists for ethnic minorities, learning disabilities, severe mental illness, and transgender health
- Analysis of data quality gaps in electronic health records
- Investigation of inequities in cancer symptom help-seeking behavior
- Methodological improvements for health inequalities research
Recent publications demonstrate her leadership in creating sensitive codelists that identify 36.9-76.6% more individuals in marginalized groups compared to standard approaches, revealing critical data retention issues in UK primary care. Her cancer research highlights conceptual and measurement challenges in studying help-seeking disparities, advocating for refined methodologies to achieve equitable early diagnosis. Collaborative work with multidisciplinary teams at Surrey addresses global priorities in cancer outcome disparities through innovative data science applications.
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