Abstracts by keywords: DiGA
Symptom checkers are interactive, AI-based applications designed to support patients' self-management in the event of symptoms of illness. By assessing diagnoses and urgency, symptom checkers have the potential to contribute to care management and improve health literacy. The diagnostic accuracy of the currently available symptom checkers is currently still in a rather low range. When it comes to triage accuracy, however, some of the applications do very well. The latter point in particular offers opportunities to relieve emergency rooms, for example.
03.04.2023
Digital health applications (DiGA), both in the sense of the Digital Care Act of 2019 as patient-centric applications and in the sense of the use of telemedical solutions on the part of providers (e.g. teleconsultations, electronic files), are increasingly recognized as real clinical interventions (Kowatsch et al 2019). They have the potential to supplement and improve care and to make processes more effective (Eysenbach 2001; World Health Organization (WHO) 2015). Nevertheless, innovative digital applications in Germany, as in many other Western healthcare systems, are often not established in standard care (Huang et al. 2017). The dissemination of an innovation within an existing system is described in science with the term diffusion and the associated theory of diffusion of innovations (Rogers 2003). In practice, people tend to talk about the phenomenon of inability to scale up. Above all, this phenomenon underlines that it is a central problem for digital innovation projects to leave the test phase in the project context and to expand the sphere of action to include standard care (Häckl 2010; Gersch and Rüsike 2011).