Year: 2025
Type: book-chapter
Abstract: BACKGROUND: AI applications promise to be a valuable tool for health-focused NGOs. While often operating with limited resources, these organizations recognize the potential of AI to streamline processes and support workflows through automation. However, challenges such as data privacy concerns-especially regarding personal medical data-and the low prioritization of implementation hinder progress. OBJECTIVES: This study examines the extent to which German health-focused NGOs can currently benefit from the application of AI. It evaluates demands, available resources, and use cases. METHODS: A health-focused subset of data from project KINiro was analyzed. This research utilized a mixed-methods approach, combining two rounds of qualitative interviews with a quantitative survey. RESULTS: The study revealed that while health-focused NGOs are in the early stages of AI implementation, there are hurdles such as ethical concerns and a lack of resources. CONCLUSION: AI has the potential to support health-focused NGOs in their work, if the challenges like resources, ethics, and data privacy are effectively addressed.
DOI: 10.3233/shti250172
Authors: Franziska Hauer, Maximilian Schultz, Sonja Haug, Karsten Weber
Institution: OTH Regensburg
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409773415