MEDI-DOK: Medical efficiency through digital intelligent document analysis

Goals and solutions

MEDI-DOK pursues two goals:

• Improved prediction of relocation reliability through integration of unstructured text data
• Reduction of manual (report creation) effort through LLM-generated text modules

These use cases are intended to improve the quality of clinical decisions and the efficiency of documentation.

Innovation content

MEDI-DOK uses advanced LLMs to harness unstructured text data in intensive care medicine. This method is a breakthrough as it incorporates untapped data sources into prediction and enables more accurate prediction of transfer safety. At the same time, the automated generation of reports by LLMs supports medical professionals by significantly reducing the documentation effort and improving the quality of treatment.

The project also examines the legal framework for the use of AI in medicine. The legal assessment creates clarity in an area that has been little regulated to date and paves the way for the legally compliant use of such technologies in practice.

Consortium

MEDI-DOK is being carried out by an interdisciplinary consortium that combines expertise from the fields of AI, medicine and law. RISC Software GmbH is coordinating the project and, in addition to Passgenau Digital, is contributing extensive experience in the development of AI algorithms. The JKU’s LIT Law Lab is investigating the legal aspects, while the JKU’s Faculty of Medicine is providing practical data and use cases.

Benefits and utilization potential

MEDI-DOK has the potential to significantly improve the quality of patient care through the integration of unstructured data. Improved predictive models could increase transfer safety, while automated transfer reports reduce the workload for physicians and improve treatment quality. The research results can help to set new standards in clinical documentation and predictive medicine. The legal analysis of the project also facilitates the future legally compliant implementation of such systems.

Sustainability and social contribution

MEDI-DOK contributes to the optimization of medical processes and promotes the efficient use of resources in the healthcare system. By avoiding redundant examinations and improving the quality of documentation, the project will contribute to more sustainable and safer intensive care medicine. The consideration of gender and diversity aspects promotes the development of equitable and inclusive technologies in the healthcare sector.

This project is funded as part of the #upperVISION2030 economic and research strategy of the state of Upper Austria and by the Austrian Research Promotion Agency (FFG).