Recommendations for the use of symptom checker apps in the healthcare context—based on the results from the CHECK.APP project

Abstract

Definition of the problem: Digital health technologies have gained significant importance in recent years. These technologies include symptom checker apps which use algorithms or artificial intelligence to provide users with analyses and recommendations based on their symptom input. Despite their widespread recognition, research shows mixed results regarding the accuracy of these apps, thus, limiting their current utility. The interdisciplinary CHECK.APP project examined the ethical, legal, and social aspects associated with symptom checker apps. Arguments: The resulting recommendations presented here are directed towards various stakeholders, including users, physicians, developers, and public institutions. It is crucial to adopt a critical stance towards the use of symptom checker apps, promote health literacy and eHealth literacy, and ensure transparency regarding the data basis and user experiences. Moreover, there is a need for reliable and independent information sources that allow users and physicians to stay informed about current developments in the digitalization of healthcare. At the same time, developers are encouraged to follow clear guidelines on transparency, quality assurance, and accessibility. Additionally, policymakers are recommended to ensure the voluntary use of symptom checker apps and to create conditions that strengthen the health literacy of the population. Conclusion: The recommendations presented here outline how symptom checker apps can be used responsibly to maximize potential benefits and minimize risks.