Work Package 2: Analysing Data

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“Analysing for Multiple Long-Term Conditions and Medicines”

In this part of the project we will use further AI techniques to analyse the data collected in Work Package 1. We will look for relationships between MLTC, polypharmacy and personal/ social factors.

 

To test these relationships, we will repeat our investigation across different datasets and compare our results to findings in similar studies.

 


 

 

NENC SDE team is supporting the AI MULTIPLY project to make good progress in relation to data access to aid analysis. The team has been on hand to provide expertise with the required governance documentation, as well as facilitating data access, always providing clear updates and regular check ins as part of the wrap around service. By using the following methods this has put the project in a good position to move forward with future work packages.

 

Data collection: 45,000 patients with two or more MLTCs from Newcastle Hospitals, mental health prescribing data from Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust and 6 GP practices.

 

Data Processing: Using AI tools like Natural Language Processing to extract relevant data which is then shared securely with researchers.

 

Patient privacy: The data submitted to the SDE uses a psuedo@source tool which allows the data to be linked but also protects the identity of patients.

 

See SDE images of data collection & processing path along with an example of how patient information is pseudonymised.