The skills, knowledge and resources to search for, find, understand, evaluate and apply health information is defined as health literacy (HL). If individuals want to use health information from the Internet, they need Digital Health Literacy (eHL), which in addition to HL also includes, for example, media literacy. If information cannot be found or understood by patients due to low (e)HL, patients will not have the opportunity to make informed decisions. In addition, many health apps for self-management or prevention also require (e)HL. Thus, it follows that active participation in healthcare, in terms of Person-Centered Care (PCC) is only possible through (e)HL. Currently, there is a great need to strengthen these competencies in society to achieve increased empowerment of patients and their health. However, at the same time, there is a need to train and improve competencies in the field of healthcare professionals so that they can counsel and guide patients. This article provides an overview with a focus on HL and eHL in healthcare, shows the opportunities to adapt services and describes the possible handling of patients with low (e)HL. In addition, the opportunities for patients and healthcare professionals to improve (e)HL are highlighted.

Learning digital competencies can be successful if the information is also tried out immediately using interactive elements. However, interactive teaching poses a particular challenge, especially in large group formats. Various strategies are used to promote interaction, but there is little known about the results. This article shows different strategies and evaluates their influence on the interaction rate in a large group course over two terms that teaches digital medicine. Log files and participation in surveys as well as participation in chat were quantitatively evaluated. In addition, the chat messages themselves were evaluated qualitatively. For the evaluation, relation to the total number of participants was particularly relevant in order to be able to determine an interaction rate in the individual course sessions. A maximum average interaction rate of 90.97% could be determined over the entire term while the participants wrote an average of 3.96 comments during a session in the chat. In summary, this research could show that interactive elements should be well planned and used at regular intervals in order to reap the benefits.

Digital competencies, as well as knowledge about digital medicine, are becoming increasingly relevant but are rarely reflected in teaching concepts at universities. One reason for this is probably the fact that they are not yet part of the curricula in many areas or countries (such as medicine in Germany). Therefore, courses that address digital competencies and intend to impart knowledge about digital medicine are not subject to any curricular specifications and have a correspondingly broad range of possible designs. This article reports findings from an investigation on an interdisciplinary and cross-faculty course on digital medicine. An online questionnaire was used to assess student attitudes toward digital medicine topics and conduct self-assessments of their digital competencies before and after the course. The aim of this study was to test whether such a course could influence students’ attitudes and competencies. Group comparisons revealed statistically significant changes. They proved that the described course and its content regarding digital transformation in healthcare and digital medicine had an impact on digital competencies and participant opinions on digital topics. In order to teach students important competencies for the 21st century, universities should offer more courses that address digital transformation and support students in improving their competencies.

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Continuous profession-specific training is necessary to provide high-quality care for people with dementia. Research shows the need for more educational programmes that are personalized and responsive to the learning needs and preferences of staff. Digital solutions supported by artificial intelligence (AI) may be a means of making these improvements. There is a lack of formats that support learners in selecting the right content according to their learning needs and preferences. The project “My INdividual Digital EDucation.RUHR” (MINDED.RUHR) addresses this problem and seeks to develop an automatized delivery system for individual learning content using AI. The sub-project presented here aims to achieve the following: (a) explore learning needs and preferences regarding behavioural changes in people with dementia, (b) develop learning nuggets, (c) evaluate the feasibility of the digital learning platform, and (d) identify optimization criteria. Following the first phase of the framework for the design and evaluation of digital health interventions (DEDHI), we use a qualitative approach with focus group interviews for exploration and development, and co-design workshops and expert audits to evaluate the developed learning nuggets. The developed e-learning tool is the first step in supporting the digital training of healthcare professionals in the context of caring for people with dementia, individualized through AI.