Automated Clinical Documentation

The creation of medical documentation remains a time-consuming and often repetitive task for healthcare professionals. Automating and optimizing this process offers significant potential for enhancing efficiency, reducing administrative workload, and freeing more time for direct patient care.

Research Project

We are developing an application leveraging Large Language Models to automate and streamline the generation of structured medical documentation directly from existing patient data. This semi-automated approach significantly reduces the administrative burden on healthcare providers. Data protection is the top priority throughout this process, from initial patient information processing to the generation of the final medical reports. Therefore, the application operates entirely within the secure internal network infrastructure of healthcare institutions, with no external access permitted. Special emphasis is placed on robust data security measures, ensuring privacy compliance and data integrity at every stage of the generation of medical documentation. Additionally, integrated verification methods ensure the reliability and accuracy of the generated information, preventing hallucinations and misinformation.