Hospitals, due to their complex and dynamic nature, face significant challenges in aligning clinical workflows with established treatment protocols. In this study, we analyzed HL7 FHIR AuditEvent sequences from 10 randomly selected chest pain cases to model clinical process flows and assess adherence to a standard operating procedure (SOP) defined by Medical University of Vienna. Despite the limited dataset, our findings reveal several deviations from the defined SOP, illustrating the fragmented nature of real-world clinical workflows. This work demonstrates the potential of combining medical data standards with process analytics to turn clinical data into actionable insights for improving patient care.