dHealth 2023 : Proceedings of the 17th Health Informatics Meets Digital Health Conference

Digital technologies have become an integral part of all our lives, and the area of healthcare is no exception.This book presents the proceedings of the 17th annual conference on Health Informatics meets Digital Health (dHealth 2023), held in Vienna, Austria, on 16 and 17 May 2023. The conference series provides a forum for researchers and decision makers, health professionals, healthcare providers, and government and industry representatives to present and discuss innovative digital-health solutions with the aim of improving the quality and efficiency of healthcare using digital technologies. The ‘d’ in dHealth encompasses concepts such as digitalization, datafication and data-driven decision making, as well as predictive modeling and “deep” health for better patient outcomes and sustainability in healthcare, and the 47 papers included here offer an insight into state-of-the-art aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, telemedical approaches and solutions, predictive models, machine learning in healthcare and biomedical data analytics.The book provides an interdisciplinary overview of current research activities in digital health, and will be of interest to all those working in the field.

Digital technologies have become an integral part of all our lives, and the area of healthcare is no exception. This book presents the proceedings of the 17th annual conference on Health Informatics meets Digital Health (dHealth 2023), held in Vienna, Austria, on 16 and 17 May 2023. The conference series provides a forum for researchers and decision makers, health professionals, healthcare providers, and government and industry representatives to present and discuss innovative digital-health solutions with the aim of improving the quality and efficiency of healthcare using digital technologies. The ‘d’ in dHealth encompasses concepts such as digitalization, datafication and data-driven decision making, as well as predictive modeling and “deep” health for better patient outcomes and sustainability in healthcare, and the 47 papers included here offer an insight into state-of-the-art aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, telemedical approaches and solutions, predictive models, machine learning in healthcare and biomedical data analytics. The book provides an interdisciplinary overview of current research activities in digital health, and will be of interest to all those working in the field.