RAIQC

Report and Image Quality Control is an educational platform for healthcare professionals to improve their medical image reporting skills in a secure and anonymised web-based environment.

The RAIQC platform was developed as a teaching and training tool within Oxford University Hospitals  (OUH) to allow healthcare professionals to improve their medical image interpretation skills in a secure and anonymised web-based environment.

The technology enables any reporter to easily interpret, on any computer, medical images from X-rays to CT or MRI scans. Their mark-ups and professional opinions of the images are stored anonymously to be able to be compared amongst their peers or, in this case, with AI algorithms.

Now RAIQC Ltd has been launched to allow it to grow and be accessible to more people across the NHS and beyond.

As well as its training and education purpose, RAIQC (Report And Image Quality Control) is an effective quality assurance tool: it gives users instant feedback on how well they are interpreting all kinds of medical images and allows them to anonymously benchmark themselves against their peers and experts.

The platform will also be used to support research studies that rely on imaging – for example, by introducing quality controls on image interpretation when measuring the impact of a new cancer drug on a tumour.

RAIQC and NCIMI

RAIQC has joined NCIMI to support three studies where NCIMI will provide anonymised data with ground truth, whilst RAIQC will handle image annotation and the collection of user and case data. This will then be securely transferred to NCIMI for further evaluation and analysis.