Borowiec, Dominika MD, Wind de, Astrid PhD, Syurina, Elena PhD, Boot, Cécile MD PhD, Anema, Han J.R. MD PhD.
The shortage of insurance physicians presents a significant challenge to the delivery of statutory social-medical services by the UWV. This shortage leads to extended waiting times for consultations and assessments, prolonged sick leave, and reduced opportunities for labor market participation among individuals receiving disability benefits from the UWV.
Advances in data-driven methodologies and artificial intelligence (AI) are accelerating across healthcare, including within the field of insurance medicine. Generative AI language models offer potential solutions to the capacity issue by facilitating tasks such as summarizing case files, responding to queries regarding medical histories, and drafting professional reports. Nevertheless, it is critical that these technological solutions are accepted by both practitioners and clients. A thorough understanding of the needs and expectations of clients, insurance physicians, and other key stakeholders is central to this acceptance.
The aim of this research is to bridge the gap between human expertise and the capabilities of AI technology in order to gain insights into the level of support and the feasibility of AI applications in insurance medicine, including the associated considerations.
Contact
E-mail: d.m.borowiec@amsterdamumc.nl
