The Recognising and Assessing Medical Problems in Psychiatric Settings (RAMPPS) elearning module developed by Health Education England working across Yorkshire and the Humber is now available.

The module is suitable for all healthcare staff in both acute and community-based mental health settings, for example doctors, nurses, support workers, pharmacists and Allied Health Professionals. Completing this short interactive 15 minute module can help to broaden or refresh the knowledge of applying structured approaches and best practice tools when recognising, assessing and managing the deteriorating physical health of patients in mental health settings.

For more information visit http://www.e-lfh.org.uk/programmes/recognising-and-assessing-medical-problems-in-psychiatric-settings/

Image Interpretation, also known as Interpretation of Radiological Images (e-IRI), is an elearning project to support radiographers and other healthcare professionals with interpreting and offering clinical evaluations on radiographs and other imaging modalities. The project is a collaboration between the Society and College of Radiographers and Health Education England’s award-winning elearning for healthcare programme.

The project originally focused on sessions to support image interpretation of standard radiographs of the musculoskeletal system, but has since grown in size and scope. In 2016 21 new interactive sessions have been published on topics ranging from Dignity and Continuing Professional Development to Magnetic Resonance Imaging and Gastro-intestinal and Genito-urinary imaging.  New modules have also been added to the programme; Cardiac Imaging, Neurointervention, Dental and Maxillo-facial Radiography and Accessory Projections.

The learning sessions have been written and reviewed by radiographers, academics and radiologists. They include sample images, assessments and case studies, as well as links to the latest research and resources. For more information or to access the free material see http://www.e-lfh.org.uk/programmes/image-interpretation/