Evaluation von Einsatzmöglichkeiten textgenerativer künstlicher Intelligenz in der gesetzlichen Unfallversicherung unter Verwendung von ChatGPT

Abstract

This study examined the extent to which generative artificial intelligence can be used for analyzing reports from the statutory accident insurance system. To this end, medical documents were evaluated using targeted prompts with both ChatGPT and a specially customized CustomGPT model. The results showed that simple tasks, such as extracting basic personal data or identifying missing causal links, were performed with high accuracy and a low error rate. However, when it came to more complex legal issues or the interpretation of contextual information, the models demonstrated limited reliability. The use of a tailored CustomGPT model did not yield a significant improvement in response quality compared to the standard version. In its current stage of development, the technology is not suitable for practical use in evaluating reports from the statutory accident insurance system. Future research should investigate newer versions of ChatGPT as well as alternative AI systems. It is expected that generative AI will soon be reliably applicable to the use cases explored in this study.

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