Super‐process interoperability optimization architecture in healthcare ultra‐large‐scale systems: A graph‐based multi‐objective approach

Abstract

The healthcare industry is more challenging and the super-process interoperability should be planned in order to architecture an informational technology structure of the required data for progression of care. Large-scale enterprises could be provided cross-organization super-processes operations. Therefore, each enterprise's business process management system (BPMS) may be executed cross-organizational BPM as a kind of the process model. This study proposed a Super-process Interoperable Optimized Architecture based on BPMS as a paradigm to satisfy the consistency of cross-organization operations in healthcare industry. For developing the healthcare ultra-large-scale process management system (H-ULS-PMS), the paper provided interoperability optimization with intelligent recommender system in estimation component of BPMS that has been altered to H-ULS-PMS. This system could be recommended the appropriate concept of crossed healthcare process according to the hospitals' requirements. A graph-based multi-objective optimization method has been applied to control distributed resources across the hospitals. The community cloud is used as proposed architecture infrastructure for largely scaled interoperability. A practical case in hospital as a research project of a hospital in Dusseldorf-Wersten of Germany has been studied to show the better interoperability and resource management of the proposed super-process interoperability architecture.