Acceptance and Usage of AI Applications in Health-Focused NGOs

Hauer, Franziska; Schultz, Maximilian; Haug, Sonja; Weber, Karsten

doi:10.3233/SHTI250172

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.