Document type
Book chapters
Title
Reliability of IoT-Aware BPMN Healthcare Processes
Participants in the publication
Dulce Domingos (Author)
Dep. Informática
LASIGE
Ana Respício (Author)
Dep. Informática
CMAFcIO
Ricardo Martinho (Author)
Summary
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.
Editor(s)
Catarina I. Reis and Marisa S. Maximiano
Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
Where published
Internet of Things and Advanced Application in Healthcare
Publication Identifiers
ISBN - 9781522518204
Publisher
IGI Global
Number of pages
35
Starting page
214
Last page
248
Document Identifiers
DOI -
https://doi.org/10.4018/978-1-5225-1820-4.ch008
Keywords
Computer Science & IT
Internet Technologies
Medical Technologies
Internet of Things
Reliability
Ambient Assisted Living (AAL)
Business process
Business Process Management (BPM)
Business Process Management System (BPMS)
Business Process Modelling and Notation (BPMN)
Tags
#IoT
#InternetOfThings
#reliability
#BPMN
#businessprocess
#AAL
#ambientassistedliving