K. Schaumann
Papers
1
Total Citations
8
H-Index
1
About
Dr. K. Schaumann is a leading researcher in medical process modeling and intraoperative workflow management, with a focus on enhancing surgical precision through interoperable systems. Their most-cited work, “Toward an interoperable, intraoperative situation recognition system via process modeling, execution, and control using the standards BPMN and CMMN” (2023, 8 citations), addresses a critical gap in surgical informatics: the rigidity of traditional process models like BPMN in capturing the dynamic, non-standardized nature of real-time interventions. By integrating Case Management Model and Notation (CMMN), Schaumann pioneers a flexible framework that enables adaptive, context-aware recognition of intraoperative events—a breakthrough that promises to improve decision support and patient safety in the operating room. This contribution has garnered attention from both clinical and computer science communities, laying the groundwork for more resilient surgical workflows. Schaumann’s work exemplifies how cross-disciplinary modeling standards can transform complex medical environments, making them more responsive to the unpredictable realities of surgery. Their research continues to influence the design of intelligent, interoperable systems that bridge the gap between planned procedures and live clinical practice.
Research Focus
Key Achievements
Top Papers
- 1