Smart-IoT Business Process Management: A Case Study on Remote Digital Early Cardiac Arrhythmia Detection and Diagnosis

Cyber-physical systems (CPS) and Internet of Things (IoT) systems are mainly in charge of sensing, acting, computing, communicating, managing, and evolving the software integrated in devices. The wide variety of technologies and devices that support IoT systems and the decentralization of services through infrastructures, such as fog or edge computing, has led companies to complex business models. These complex business models require decentralized and business-aware architectures driven by the business process management systems (BPMSs) that define the tasks involved in IoT workflows. Well-defined and established IoT business process management (BPM) are required for companies to remain competitive. However, there are still challenges that must be addressed to smoothly integrate IoT BPM and their architectures into a digitally native company's daily workflow. In this article, we present an IoT architecture to support a smart IoT BPM that focuses on addressing the challenges of scheduling, resource allocation, and state management of Smart IoT systems. In particular, the IDOVEN company's adoption of this Smart IoT BMP in an IoT system for remote digital early cardiac arrhythmia detection and diagnosis is illustrated which has been validated with 2188 patients across the seven continents.

Automated summary

Cyber-physical systems (CPS) and Internet of Things (IoT) systems are responsible for integrating software in devices. Well-defined and established IoT business process management (BPM) is essential for companies to remain competitive. However, integrating IoT BPM into daily workflow still faces challenges. This article presents a smart IoT BPM architecture and illustrates its application in remote cardiac arrhythmia detection and diagnosis.