Key Work quality assurance automation

The tool has been designed to automate the process of scoring the quality of Key Work session case notes each month. These scores can be challenged by prisons if they feel that the score allocated by the model is incorrect, at this point a human will manually review the case note and assign the appropriate score. The scores assigned by the model are used by Functional heads and Custodial Managers within prisons to identify areas of improvement and good practice and inform their local QA process. The overall aim...

The scores outputted by the model can be challenged by prisons if they feel that they are incorrect. At this point a human will manually review the case note and assign the appropriate score. If a large number of scores are successfully challenged, this will feed into a review of the model.

The data extracted from NOMIS includes the case note free text and ancillary information e.g. offender ID, staff ID, contact time, case note ID, along with OMiC delivery frequencies. The features used by the model to make predictions are the case note text, OMiC delivery frequency and the text length which is calculated from the free text field. The other fields are passed onto a separate team for them to calculate RAG ratings from the quality scores, but aren't used by the model to make predictions. Note that t...