emerging literature marking a change in how the digital footprints of 'modern migrants' might be conceptualised. 'Ora' incorporates AI driven meta data with real time immigration statistics and regional infectious disease prevalence, providing an early warning system for communicable diseases in transient populations. The UN High Commission for Refugees now estimates that 70.8 million people are forcibly displaced around the world, the highest in recorded history with nearly one person displaced every two seconds. The growing social, humanitarian and economic costs signal a pressing need for collaborative innovation. This multidisciplinary approach highlights the benefits of cross-agency partnership in addressing the needs of a mobile and digitally connected global population. Agile development, prototyping and the clinical training of 'Ora' algorithms, were achieved through integration of workflows across clinicians, data scientists and technologists. Diversity in training, design approaches and backgrounds of the team yielded debate on the ethical and societal consequences of scraping meta data from vulnerable populations. Anecdotal evidence of European agencies using migrant smartphone data (social media, geolocation, messages) for deportation purposes led to the formation of 'Ora' operating values, and the emphasis of embedded bioethical principles in its deployment.

The prevalence of abdominal aortic aneurysms (AAA) in the nonagenarian and centenarian populations is set to increase. Endovascular aneurysm repair (EVAR) has been shown to be achievable with excellent outcomes in carefully selected nonagenarians. However, experience with centenarians is limited. We report the case of a 100-year-old who presented with a tender 8-cm AAA and successfully underwent EVAR. This report describes the second case of AAA repair in a centenarian in the literature and the first reported EVAR in this demographic. The patient survived for 2 years after the procedure, was free of EVAR or aneurysm-related complications. Furthermore, we present a systematic review of the existing literature and insights pertaining to outcomes in nonagenarians undergoing EVAR.

Aims and methodThe clinical utility of the multidimensional Framework for Routine Outcome Measurement in Liaison Psychiatry (FROM-LP) has not previously been examined. We sought to establish whether referral accuracy and ability to achieve the reason(s) for referral to our liaison service improved after incorporating the Identify and Rate the Aim of the Contact (IRAC) scale of this tool into our referral process. We carried out a retrospective analysis of electronic case notes of all appropriate referrals to the team before and after this adaption.ResultsAccuracy of referrals to our team improved from 73.8 to 93.7% following intervention. Referral requests that were fully achieved improved from 57.4 to 77.8%, and referral requests that were not achieved decreased from 26.2 to 6.4%.Clinical implicationsThe IRAC component of the FROM-LP measures what it was developed for, and thus has clinical utility supporting its widespread adoption across liaison services in the National Health Service.Declaration of interestNone.