Towards a Data-Driven Decision Support System for Enhanced Healthcare Collaboration
摘要
Collaboration in healthcare is a complex and critical challenge, especially in environments where key resources, such as surgeons, are both scarce and costly. Operating rooms are high-stakes environments that demand precise coordination among multiple care units to ensure efficient and effective patient management. In this context, we used R-IOSUITE, a decision support system originally designed for crisis management, and now extended to model and manage collaboration across hospital units in surgical care pathways. R-IOSUITE is built upon a metamodel specifically designed to represent collaborative processes. Our research begins by adapting this metamodel to healthcare settings and the coordination of surgical patient pathways. One of the key features of the framework is its ability to infer, propose, and represent a shared, holistic planning approach across all stages of the surgical care process. The proposed framework is a POC (Proof of Concept) validated through a case study involving several hospital units. The results highlight the platform's adaptability to healthcare-specific contexts and its potential to improve both the supervision and coordination of surgical pathways. This work contributes to enabling effective collaboration in complex and resource-constrained healthcare environments.