Harnessing data analytics to maximise NHS learning from patient safety incident reports
This project developed and tested analytical strategies to inform the design of quality improvement projects led by paediatric trainees.
This project developed and tested analytical strategies to inform the design of quality improvement projects led by paediatric trainees.
Significantly increased analytical capabilities and implemented processes to allow for data-mining and rapid exploration of datasets to inform future service reconfiguration.
Run by NHS North East, from December 2009 to January 2012, this project set out to improve patient safety, with a focus on nine clinical safety areas. The programme of work included identifying main a...
This project involved developing a Real-world Intervention Causal Evaluation (RICE) tool, which semi-automates the process of intervention evaluation and significantly enhances analytical capability.
This project used the programming language R to analyse prescription data to provide clinicians with adherence estimates and visualisation of medication histories at the point of care.
This project set out to improve quality and patient safety: developing the patient safety infrastructure; further testing of different safety measures; and achieving greater understanding of how to sp...
This project involved developing and delivering a comprehensive training and support programme on how to access and use population health intelligence.
The Informatics Skills Framework supports the analytical workforce, identifies skills gaps and improves capability, enabling analytics staff to provide analytical support, advice and guidance to clini...
This project involved developing safety networks across England’s north west, using a nodal structure for distributed leadership of safety improvement. It aimed to develop the safety improvement infra...
This project used analytics from PathAnalyse to support senior staff to understand current processes, and identify scenarios that negatively impact patient experience and resource efficiency.