Developing a service to ensure the right people are selected for invitation to screening at NHS England

To begin, imagine a person whose NHS record has been selected as being eligible for routine breast screening.

If their record contains even small errors or missing information, a data exception will be generated, meaning their screening invitation could be delayed while staff work hard to manually investigate and fix the problem.

To support this process and ensure that errors are picked up early and quickly resolved, cohort manager will apply a series of validation rules to each record entering the screening pathway.

It automatically identifies invalid or missing information (data exceptions) and can resolve many data issues, such as transformations, without staff intervention.

For cases that need manual intervention by staff, the system provides an interface that visualises the data exception and enables users to quickly direct it to the appropriate team for resolution.

An open-source web application was developed using Next.js using the NHS Design System to allow users to log in using NHS CIS2 Authentication OAuth. Patient data and exception details was retrieved from the SQL database using an API in Azure functions. Automated tests for the user interface were written using Jest and Playwright (using BDD with Cucumber).