National incident learning system for clinical imaging, MRI and nuclear medicine The Medical Exposure Group (MEG) in UKHSA are leading the National incident learning system for clinical imaging, MRI and nuclear medicine. This system is designed to enhance patient safety by providing a structured way to report, analyse and learn from incidents, including both notifiable and non-notifiable events as well as near misses.

Participation in this system is voluntary. Incident and near miss event data can be submitted to the MEG via a number of different routes, which can be found under 'data submission'.

In order to participate, departments must first locally apply the national taxonomy coding National coding taxonomy for incident learning in clinical imaging, MRI and nuclear medicine to local incident and near miss data.

Guidance on this can be found here: user guidance and application of the national taxonomy for incident learning in clinical imaging, MRI and nuclear medicine.

Once the coding has been applied, data can be submitted to MEG..

Incident and near miss event data is analysed by MEG. Learning is shared though the publication of reports. In terms of patient safety, the analysis of the data will help direct future learning and inform local processes, procedures and risk assessments so these events may be mitigated.

For further information on the national incident learning system for clinical imaging, MRI and nuclear medicine, please contact MEG at: MEG.learningsystem@ukhsa.gov.uk