Visual Analytics for Evaluating Clinical Pathways

Authors: H.Garcia Caballero, A.Corvò, P.Dixit, M.A. Westenberg

Abstract:

Digital platforms in healthcare institutions enable tracking and recording of patient care   pathways. Besides the Electronic Health Records (EHRs), the event logs from Hospital Information Systems (HIS) are a very efficient source of information, from both operational and clinical point of view. Process mining allows comparison of a patient care pathway with the event log(s) from HIS, to understand how well the reality as depicted in the event log, fits the
expectation as modeled using a care pathway. SepVis is a tool which exploits the process mining results to provide insightful and efficient visualization of an event log comprising of (suspected) sepsis patients. In this paper, we present SepVis, a visual analytics tool which aims to fill the gap in current process-centric application by looking at patients’ pathways from a clinical point of view.