Towards a Process-Based and Service-Oriented Intelligent Framework for Ig/TCR Clonality Testing in Suspected Lymphoproliferative Neoplasms

Cancer care centers aim at automating the carried out procedures in their labs in order to reduce staff effort and increase test accuracy. This has motivated the researchers undertaking Ig/TCR clonality testing at a cancer care organisation to derive a requirements model for a process-based and service-oriented intelligent framework in diagnosing malignant lymphoproliferative neoplasms. However, eliciting the requirements for such a framework has been challenged by the incomplete specifications of the Ig/TCR testing in the cancer care lab protocols. Workflow models using Business Process Modelling Notation (BPMN) has been developed to deliver a validated set of Ig/TCR workflow models. These BPMN workflow models constituted the base for deriving functional and service requirements for Ig/TCR testing linked with related quality requirements. The triangulation between Ig/TCR process models, the functional/service-oriented requirements and quality requirement formed the foundations to propose an intelligent framework for Ig/TCR clonality testing with process mining and data analytics driven by current and historical Ig/TCR events in a particular lab of a cancer care centre.