Author Description

The integration of technology has become key to improving patient outcomes, optimizing clinical workflows, and expanding access to healthcare. The use of large language models (LLMs) like ChatGPT is becoming more familiar and acceptable to users, and a number of research groups are now exploring the use of LLMs for various healthcare purposes. The next few years will show to what extent the huge expectations raised by LLMs will be met, and which classical health IT areas will survive this technological transformation. This book presents the proceedings of dHealth 2024, the 18th annual conference on Health Informatics meets Digital Health, held on 7th & 8th May 2024 in Vienna, Austria. The dHealth conference series aims to provide insight into the research and application of up-to-date health IT solutions. Attracting around 300 participants each year, the series provides a platform for researchers, practitioners, decision makers and vendors to discuss innovative health informatics and eHealth solutions aimed at improving the quality and efficiency of healthcare by means of digital technology. The book includes 42 papers delivered at the conference. Topics range from the adoption of emerging technologies like LLMs, telemedicine and cloud computing, to the ethical, legal, social, and economic implications of health IT. The book provides an up-to-date overview of ongoing research in health IT which will contribute to shaping the future of healthcare delivery, advancing digital health, improving patient outcomes, and ensuring equitable access to quality care for all, and will be of interest to all those working in the field.