Process Transparency Through Data Mining: A Hospital Case Study by Dr. Harald Störrle скачать в хорошем качестве

Process Transparency Through Data Mining: A Hospital Case Study by Dr. Harald Störrle

Procedures in hospitals require complex logistics involving dozens of stakeholders and multiple IT systems. Despite best efforts by experienced experts, deviations from the operation schedule occur time and again resulting in delays. If push comes to shove, surgeries have to be postponed which impacts both patients and medical staff, and may result in significant costs for the hospital, stress for medical staff, and worse medical outcomes. Using a case study from the University Hospital Munich (Klinikum der LMU), we demonstrate how such complex processes can be analyzed through a smart combination of quantitative and qualitative methods. In particular, we apply business process modeling, process mining, data analysis, and interactive visualizations to achieve sustainable process improvements. About the speaker Harald Störrle has been working in the field of requirements, processes, and modeling since 2000. He collaborates with stakeholders and business departments, translating their needs and goals into a form that enables developers and architects to build great software. In a parallel universe, he is a scientist focusing on empirical methods. Topic was presented at Munich Datageeks - December Edition 2025 https://munich-datageeks.de/