The CCG was overloaded with datasets, spending a lot of time collating data from various sources for analysis. They required assistance in navigating the vast flows of data that the NHS generates and had a requirement to access this data through an online platform and automated reports, which could visualise benchmarked and predictive data for interpretation in a clearer way than their current and complex spreadsheets.
The Care Quality Commission (CQC) is the independent health and social care regulator for England.Read More
If an item becomes obsolete, no longer in use or isn’t working, it’s either disposed of or sent to storage. Across DE&S, there was no set process to monitor and manage the disposal risk of these items. It was only being done at team level, tracked over non-interfaced electronic systems, local spreadsheets and paper-based registers.
Systems could not be linked. Confidence in the disposal process could not be recorded or understood.Read More
The MOD holds an enormous amount of unstructured text data. One of the barriers to using standard models to gain insights from this data is the extensive use of bespoke acronyms: there are more than 21k acronyms commonly in use across the MOD, with some of them representing up to 17 different meanings. This complexity means creating a straightforward acronym dictionary was impossible. They needed a tailored solution to recognise and retrieve the long explanation of acronyms in text.Read More