BDA.11. Data Analytics in Health Care

Increasingly complex patients’ health conditions necessitate new approaches to patient management that are based upon research on clinical practice guidelines and aim at developing clinical workflows. These workflows are represented as sequences of steps corresponding to clinical tasks and decisions and they allow structuring all activities associated with a patient management process. While theoretically clinical workflows can be executed without a computer-based support, it becomes challenging when multiple healthcare practitioners are needed to perform tasks from a workflow. Such situation often occurs because management of complex conditions (e.g., chronic diseases) requires an interdisciplinary healthcare team (IHT) consisting of practitioners of diversified specialties and competencies.

BI provides methods for analyzing and processing processes as well as tools for their formalized representation (BPMN) and computer-based execution (workflow execution engines). While these methods and techniques constitute a solid foundation, they cannot be applied directly to clinical workflows due to their specific requirements (e.g., need to precisely characterize skills demonstrated by practitioners and required by workflow task). Thus, the aim of this research topic is to: (1) propose theoretical models of IHT and a clinical workflows, (2) develop algorithms for team creation and maintenance, (3) develop algorithms managing execution of a workflow, (4) develop a decision support system that would support executing a workflow by an IHT, (5) implement several workflows for diversified conditions.

Main Advisor at Poznan University of Technology (PUT)
Co-advisor at Universitat Politècnica de Catalunya (UPC)