Country / Region
EMEA
Tags
Data analytics, Implementation, Innovation, Research, Tooling
The Patient Cohorting Tool has been developed to enable efficient and reproducible identification of patient populations for research data projects at Barts Health NHS Trust. The tool currently runs on a synthetic database and allows selection by demographic and clinical variables such as gender, ethnicity, age, admission dates, and disorders and findings using SNOMED. The tool is currently in the production phase, and work is underway to connect it to the data warehouse so that it can be applied to real-world datasets. Future work includes extending search criteria to incorporate medication records to extend the search capabilities of the tool. By combining clinical detail with user-friendly options, this tool supports faster, more transparent, and more reproducible research, helping teams focus on insights rather than data wrangling.
Description
The Patient Cohorting Tool has been developed to streamline the identification of patient populations for research within Barts Health NHS Trust. Initially running on a synthetic dataset, the tool enables selection based on demographics and clinical criteria coded using SNOMED CT, with planned integration into the data warehouse to support real-world, scalable, and reproducible research.
Scope
SNOMED CT was chosen for its comprehensive clinical coverage, standardized representation of health concepts, and international adoption. Its use supports semantic consistency, interoperability, and reliable cohort identification across diverse datasets.
How SNOMED CT will be used
SNOMED CT terminology underpins the tool's clinical selection criteria, enabling searches for disorders and findings with consistent, standardized clinical coding. This allows researchers to define patient cohorts precisely and ensures that selections are interoperable and comparable across studies.
Why SNOMED CT will be used
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