
Integrating image analysis artificial intelligence with radiology reporting workflows (RIS and PACS), second edition
This guidance supports the safe integration of image analysis artificial intelligence (AI) into radiology reporting workflows.
Member benefits
Clinical imaging services play a pivotal role in the diagnosis, treatment and monitoring of various disease processes and injuries. Patients are referred to imaging services for assistance in both diagnosis and deciding on the best subsequent management of a patient’s condition. Imaging services are therefore vital for the delivery of effective health and social care. Chest radiographs are a high-volume test, with nearly 7 million performed annually in England. Patients who have a chest X-ray (CXR) performed require accurate and timely results.
The value and benefits of effective team working to deliver clinical imaging services are well known. The 2020 Diagnostics: Recovery and Renewal report sets out the principles and arrangements for providing high-quality patient care within multi-professional teams. The current document defines the education and training required for all members of the multi-professional team who report CXRs within a clinical imaging service. It is expected that other CXR reporters operating outside of a clinical imaging service should follow the same standards for education and training to ensure that they are trained to the same level of overall competence. Any practitioner who is reporting an adult CXR formally should fulfil the criteria in this document.


This guidance supports the safe integration of image analysis artificial intelligence (AI) into radiology reporting workflows.

This guidance which has been endorsed by the British Medical Ultrasound Society and Getting it Right First Time sets out the core principles for sonographers’ scope of practice when working within nationally defined GPDA pathways, ensuring safe onward referral while allowing sonographers to focus on their clinical duties.