Health apps in the test: AI endangers our health system!

Health apps in the test: AI endangers our health system!

The TU Berlin examined the quality and effectiveness of AI-based tools in a recent study on digital health advice. This research, published in the journal Journal Scientific Reports and NPJ Health Systems Journal, had the goal of evaluating the accuracy of health recommendations by systems such as Chatgpt, Meta’s Llama and various symptom checker apps. The newly developed test method, which is based on real patient cases, stands out from previous tests that were only based on idealized textbooks, such as Onlim , around 350,000 health apps worldwide offer support in various aspects of health care. The Covid 19 pandemic has also accelerated this trend because many people were looking for digital alternatives to traditional health care.

Health chatbots take on a variety of tasks, from scheduling to medication management. In the future, they could even act as the first point of contact for basic medical care. The most promising health chatbots include Woebot, which uses elements of cognitive behavioral therapy, and Buoy Health, which helps to identify health problems and to suggest suitable next steps.

integration into medical care

The importance of AI and digital health treatments could increase by the Digital-Supply Act (DVG) of 2023, which aims to integrate the comprehensive integration of apps into medical care. This should not only improve the self -diagnosis of the users, but also to optimize communication between doctors and patients, as in a further analysis of the topic on PMC

The quality of these apps depends heavily on their correct use and integration into the health process. Despite the advantages that digital solutions offer, they face challenges such as technical obstacles and the need to establish clear evaluation criteria for their effectiveness and security. The study results of the TU Berlin make it clear that critical use of these digital recommendations is necessary to avoid misjudgments and not unnecessarily burden the health system.