Break out of the cohort building triangle with caching! Behold – a triangle! (Pythagoras would approve): As the requirements of building a cohort grow so does the complexity. Complexity can come from querying more datasets, more columns or just larger volumes of data. Complex queries take longer to run. You
We are using a collection of over 30 million clinical images and applying artificial intelligence to recognise warning signs which may mean a patient’s health is at risk. Click here for more information.
So you want to build a cohort? So you’ve decided to do a research study using Electronic Health Records and/or imaging and you’ve written a document outlining the requirements. How do we turn this list of inclusion / exclusion criteria into runnable code? With RDMP‘s Cohort Compiler of course! The
Have your say on image data research Do you need access to high quality, high volume medical imaging data for your research projects? Complete our survey by 17th November 2020 to help shape the future of health data research in Safe Havens. The PICTURES programme aims to increase the capabilities
https://www.bbc.co.uk/news/business-48784205
https://www.dundee.ac.uk/stories/pictures-study-create-new-platform-help-tackle-major-health-issues
http://www.sinapse.ac.uk/news/funding-for-pictures-project-to-develop-clinical-tools-from-scotlands-national-medical-imaging-archive
https://gtr.ukri.org/projects?ref=MR%2FS010351%2F1
https://www.ed.ac.uk/clinical-sciences/edinburgh-imaging/news/2018-news/23-feb-18-using-artificial-intelligence
