A BPMN-based automated approach for the analysis of healthcare processes

TitleA BPMN-based automated approach for the analysis of healthcare processes
Publication TypeConference Paper
Year of Publication2016
AuthorsAntonacci, G., A. Calabrese, Andrea D'Ambrogio, A. Giglio, B. Intrigila, and N.L. Ghiron
EditorS.M., Gaaloul W. Reddy
Conference NameProceedings - 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN Number9781509016631
KeywordsAdministrative data processing, BPMN, Business process management, Enterprise resource management, Health care, Healthcare process, Life cycle, Model transformation, Patient treatment, Process simulations, Specifications
Abstract

Healthcare organizations are increasingly pushed to improve the quality of care service taking into account the increasing complexity in patient treatment and the continuous reduction of available resources. The adoption of Business Process Management (BPM) practices is thus becoming a key enabler for the improvement of healthcare processes (HPs). Accordingly, methods and tools are required to address behavioral and performance aspects from the early phases of the process lifecycle in order to improve the quality of healthcare, reduce costly reworks and increase the effectiveness of BPM approaches. This paper specifically addresses the specification and analysis phases of the process lifecycle and introduces a model-driven method for healthcare process simulation. The proposed method is based on a model transformation approach that takes as input the process specification in BPMN, appropriately extended to include the performance properties of the process, and yields as output the corresponding process simulation code, ready to be executed. In order to illustrate the method and its effectiveness, the paper describes an example application to a process dealing with the hip fracture for elderly patients. © 2016 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84983805389&partnerID=40&md5=524846f6fc6c8c3f937421168f86515c
DOI10.1109/WETICE.2016.35