2026-06-20T09:49:22Z https://api.figshare.com/v2/oai
oai:figshare.com:article/29616953 2025-07-30T08:26:43Z category_24559 portal_549 item_type_3 month_year_07_2025
10.5522/04/29616953.v2 https://figshare.com/articles/dataset/Synthetic_Electronic_Health_Record_data_generated_at_UCLH_for_the_project_Pollution_in_preterm_birth/29616953 https://ndownloader.figshare.com/files/58568560 https://ndownloader.figshare.com/files/58568563 https://ndownloader.figshare.com/files/58568566 https://ndownloader.figshare.com/files/58568569 https://ndownloader.figshare.com/files/58568572 https://ndownloader.figshare.com/files/58568575 https://ndownloader.figshare.com/files/58568578 https://ndownloader.figshare.com/files/58568581 South, Andy Andy South Piatek, Stefan Stefan Piatek 0000-0002-3028-5292 <![CDATA[Synthetic Electronic Health Record data generated at UCLH for the project: Pollution in preterm birth]]> Clinical sciences not elsewhere classified synthetic data EHR datasets OMOP-CDM 2025-10-13 2025-10-13 Dataset 2025 University College London Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model v5.4 with concept_name columns added for readability.

These synthetic data are based on the project 'Pollution in preterm birth' that is looking at the relationships between preterm birth and air pollution. The project is run by Tina Chowdhury who is a Reader in Regenerative Medicine at the Centre for Bioengineering, QMUL.

These are low fidelity synthetic data generated using datafaker. The columns are currently generated independently so any relationships between them may be nonsensical e.g. birth dates occurring after death dates.

These data are artificially generated, any resemblance to real patients is coincidental.

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