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

Abstract

SummaryThe 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.