Abstract

Generic Large Language Models (LLMs) such as ChatGPT or Grok, offer potential as supplementary tools for diabetes management by assisting with tasks like initial carb estimation from food images and identifying patterns in glucose data, however, it is paramount that healthcare professionals and people living with diabetes understand these systems are not a substitute for medical expertise and
cannot safely provide definitive medical advice or insulin dosing recommendations. Everyone should be aware of several critical limitations.

More spaces now available!

Thursday 26th February 2026, 17:00 - 18:00

Please join us for our second instalment on the HCL rollout, this session will focus on the dashboard, data submission and the the challenges faced.

Together we will explore:

Wednesday 25th February 2026, 17:00 - 18:15

In our first webinar of 2026, we are joined by Dr Zainab Malaki and Professor Francesco D’Aiuto to introduce you to periodontal disease and its link to diabetes.

Following presentations from both Dr Malaki and Professor D'Aiuto, our webinar chair, Dr David Gable, will facilitate a Q&A session where you will get the chance to ask any questions you may have.

Thank you to our sponsors.

The DTN-UK Educators Day 2026 has been instigated and organised by ABCD. Sponsors have contributed funding towards this event in return for exhibition space. They have had no input into the agenda or the selection of speakers with the exception of any sponsored symposia which are clearly indicated. 

Thank you to our sponsors.

The Diabetes Update Programme has been instigated and organised by ABCD. Sponsors have contributed funding towards this event in return for exhibition space. They have had no input into the agenda or the selection of speakers with the exception of any sponsored symposia which are clearly indicated. 

2025 Winner

Empowering people with diabetes to prepare for a safer hospital stay

Christina Lange Ferreira, SHINE Study team (Dr Hellena Habte-Asres, Prof Angus Forbes and Dr Kirsty Winkley at King's College London) & Wye Valley NHS Trust Diabetes Specialist Team (Dr Jyothish Govindan and team) and with thanks to the staff and people with diabetes who participated in this project

Background
Hypoglycaemia is a common but potentially life-threatening complication in hospitalised patients with diabetes. Despite its clinical significance, there is a paucity of data on epidemiology, management and outcomes. The DEKODE-Hypoglycaemia initiative builds on the success of the DEKODE-DKA surveillance model, collecting multicentre, real-time data on hypoglycaemia. It aims to assess adherence to national Joint British Diabetes Society (JBDS) guidelines and drive quality improvement across NHS trusts.

Background
Hyperosmolar Hyperglycaemic State (HHS) is a severe, life-threatening complication of diabetes. Despite its severity, national data on its epidemiology, presentation and outcomes remains limited. The DEKODE-HHS initiative builds on the success of the DEKODE-DKA surveillance model, collecting multicentre, real-time data on HHS. It aims to improve assess adherence to national Joint British Diabetes Society (JBDS) guidelines, and support quality improvement.