Large Language Models (LLM) in Palliative Care
Overall project
The healthcare systems in Europe and the USA are facing major challenges as a result of demographic change. New technologies are to be used to compensate for a possible shortage of specialists in patient care with a simultaneous increase in the number of patients. With the help of artificial intelligence and LLM - in collaboration with Stanford University (California, US) - we will ensure the best possible patient care in palliative medicine and geriatrics, especially in rural and underserved areas. An AI assistance tool, a so-called “smart assistant”, is to be developed for this purpose. The smart assistant is aimed at general practitioners in private practice with the aim of expanding access to specialist information and training opportunities in geriatrics and palliative medicine. Specifically, it is intended to provide training material for palliative care and geriatric training and help with complex situations.
Sub-project 1: Interview study for needs assessment
Interviews are currently being conducted with general practitioners in Germany and the USA in order to determine the need for a smart assistant in primary care. The aim is to ensure that the development of the smart advisor is geared towards the specific needs of those providing care and reflects their needs and requirements. The interviews will then be analyzed, taking into account ethical and cultural differences between Germany and the USA.