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Reliability of IoT-Aware BPMN Healthcare Processes

Reliability of IoT-Aware BPMN Healthcare Processes

Dulce Domingos, Ana Respício, Ricardo Martinho
Copyright: © 2020 |Pages: 28
ISBN13: 9781522598664|ISBN10: 1522598669|EISBN13: 9781522598671
DOI: 10.4018/978-1-5225-9866-4.ch037
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MLA

Domingos, Dulce, et al. "Reliability of IoT-Aware BPMN Healthcare Processes." Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 755-782. https://doi.org/10.4018/978-1-5225-9866-4.ch037

APA

Domingos, D., Respício, A., & Martinho, R. (2020). Reliability of IoT-Aware BPMN Healthcare Processes. In I. Management Association (Ed.), Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications (pp. 755-782). IGI Global. https://doi.org/10.4018/978-1-5225-9866-4.ch037

Chicago

Domingos, Dulce, Ana Respício, and Ricardo Martinho. "Reliability of IoT-Aware BPMN Healthcare Processes." In Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 755-782. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9866-4.ch037

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Abstract

BPMN (Business Process Model and Notation) has become the de-facto business process modelling language standard. Healthcare processes have been increasingly incorporating participants other than humans, including Internet of Things (IoT) physical devices such as biomedical sensors or patient electronic tags. Due to its critical requirements, IoT-aware healthcare processes justify the relevance of Quality of Services aspects, such as reliability, availability, and cost, among others. This chapter focuses on reliability and proposes to use the Stochastic Workflow Reduction (SWR) method to calculate the reliability of IoT-aware BPMN healthcare processes. In addition, the chapter proposes a BPMN language extension to provide processes with reliability information. This way, at design time, modellers can analyse alternatives and, at run time, reliability information can be used to select participants, execute services, or monitor process executions. The proposal is applied to an Ambient Assisted Living system use case, a rich example of an IoT-aware healthcare process.

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