https://www.gosh.nhs.uk/our-research/drive-unit-for-digital-innovation/drive-resources/
DRIVE resources
We want the work we carry out to not only benefit our staff and patients here at GOSH, but also across the UK and internationally.
We have created a range of resources from playbooks to impact reports and much of our code is available via GitHub.
Impact
This report explains how in 5 years, the first-of-its-kind DRIVE unit led to improvements in research and innovation, and care for children and young people with serious and complex health conditions.
Playbooks, reports and guides
We have created a playbook of learnings where we outline our experiences of the start of our partnership journey; what has gone well and what hasn’t, and how we have worked in partnership to harness the best from two very different cultures across the NHS and industry.
In the playbook we provide candid and constructive reflections on real-world issues, barriers and potential mitigations, moving from strategy to sustainable impact, all of which can be scalable across the NHS and beyond.
We hope this will be a useful guide for other healthcare organisations interested in working towards the future of health using healthcare data.
Following the introduction of our Electronic Patient Record in 2017, we began to build GOSH DRIVE, a hub for innovation with a team of digital engineers, governance experts, data scientists and clinical experts.
With a vision to harness the secondary use of routinely collected data from EPR and other systems, we partnered with Ardihia to build a state-of-the-art DRE infrastructure.
Our aim being to improve the operational management and planning of the hospital and to support clinical and informatics research activity.
Our new paper showcases how much we have achieved in the first 8 years of our partnership.
We are really proud of the hard work that the team have and continue to put into ensuring patient data is used ethically and responsibly as we strive to improve outcomes for children and young people with rare and complex diseases.
GitHub
In order to support secondary use and analysis of this data, the GOSH/Roche partnership has developed a Natural Language Processing (NLP) pipeline that can extract relevant structured information from PDF and convert it into a standardised format that enables further analysis. This work will support improved prediction, prevention, diagnosis and precision medicine at scale using information that has not previously been available.View on GitHub here