Leveraging Technology and Data Analytics to Address Health Inequalities in Maternity Care
Recent findings in maternity and neonatal care highlight significant disparities in outcomes for socioeconomically deprived and ethnic minority populations, prompting the National Health Service (NHS) to prioritise initiatives to address these inequities.

This research explores how maternal demographic data (including socioeconomic deprivation index), clinical history, lifestyle factors, and care pathways can inform the design of more equitable and efficient healthcare interventions. This study draws on the NHS Maternity Services Data Set (MSDS) and its linked datasets (e.g., the Emergency Care Data Set (ECDS)) to evaluate operational strategies aimed at improving outcomes for at-risk populations. Using advanced data analytics, we assess interventions such as continuity of care and digital tools like SMS reminders with embedded cognitive nudges. The goal is to propose personalised care pathways that enhance system efficiency and reduce disparities in care delivery. This project is supported by the Sui Foundation.
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