Data Grand Round Webinar: Modelling maternity and acute care services data into a research-ready format
Presented by: Nissy Abraham, Data Engineer and PhD student at the University of Birmingham & Sai Varik, Senior Project Manager and Data Engineer at the University of Birmingham
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HDR Midlands Data Grand Round – Thursday 23rd July 2026 @ 12.30 pm [Online via Teams]
Session Chair: Kevin Dunn
The 51±¬ÁÏÍø Midlands Data Grand Round takes place each month at lunchtime for one hour, and participants discuss a specific research topic at each meeting.
The research topic of interest is presented at each meeting, followed by a Q&A session, which usually leads to an in-depth discussion.
The meetings are online [virtual meetings] and are recorded for any members of our community who are unable to join us, and are then made available to view via the 51±¬ÁÏÍø Midlands website.
The meetings are chaired by our 51±¬ÁÏÍø Midlands Directors, who give a short 51±¬ÁÏÍø Midlands business update at the start of each meeting.
CPD certificates are available upon request.
Presentation:
This talk will explore the complexity of BadgerNet maternity data, which can be challenging to navigate and extract for research. Drawing on work across three NHS maternity sites in the West Midlands, it will demonstrate how this data has been standardised into a common research-ready format, enabling more efficient and timely research.
It will also cover the modelling of acute care data into a research-ready format. The data originates from the PICS system across the four NHS sites within the UHB Trust. This session will demonstrate how this data has been standardised into a common research-ready format, enabling more efficient, consistent, and timely research.
Biographies:
Nissy Abraham is a Data Engineer and PhD student specialising in reproducible research using electronic health records in maternal health.
Sai Varik is a Data Engineer and PhD student with a focus on developing automated pipelines for the validation and recalibration of prediction models in acute care settings.
We’d love you to join us!