title: Real-time monitoring of clinical processes using complex event processing and transition systems.
abstract: Dependencies between tasks in clinical processes are often complex and error-prone. Our aim is to describe a new approach for the automatic derivation of clinical events identified via the behaviour of IT systems using Complex Event Processing. Furthermore we map these events on transition systems to monitor crucial clinical processes in real-time for preventing and detecting erroneous situations.
authors.affiliation: Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Meinecke
mesh_terms: D001185:Artificial Intelligence; D003199:Computer Systems; D057286:Electronic Health Records / Q000458:organization & administration*; D006747:Hospital Communication Systems / Q000458:organization & administration*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D017064:Process Assessment, Health Care / Q000379:methods*