PRIDAR

PRIDAR

The PRIDAR project (“Patient-Oriented Resource Analysis for Interdisciplinary Acute Emergency Operations”) addresses the increasing challenges in emergency care, including rising hospital occupancy, insufficient transparency regarding actual capacities, and partial lack of digital integration between hospitals and emergency medical services.

The aim of the project is the development of an intelligent, modularly scalable, and adaptive data and analytics architecture capable of automatically capturing, multi-dimensionally aggregating, and providing structured representations of both current and predicted occupancy levels in emergency departments and clinical specialties. In particular, the system is intended to provide emergency medical services with real-time and prospective decision-support information, enabling allocation processes to be optimized in a resource-sensitive, situation-adaptive, and patient-centered manner.

Through the smart integration of real-time data from hospital information systems (HIS), emergency department scoring systems (CEDOCS), DIVI intensive care registry data, and emergency medical service datasets, a comprehensive digital system is created that enables informed destination hospital selection. This facilitates faster and more appropriate patient allocation. In addition to improving patient care, the system also optimizes the utilization of emergency medical service resources, thereby increasing the overall efficiency of the emergency and healthcare system.

Within the project, ICCAS will extend the existing capacity management software IVENA of the project partner mainis IT-Service GmbH with an automated, data-driven forecasting component and integrate AI methods and expert systems for occupancy prediction. This represents an important step toward a patient-centered, digitally supported emergency care system. The project outcomes will be validated through a pilot deployment involving selected stakeholders.