Artificial Intelligence - Special issue on knowledge representation
Temporal Reasoning in Workflow Systems
Distributed and Parallel Databases
On Structured Workflow Modelling
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
IT support for healthcare processes - premises, challenges, perspectives
Data & Knowledge Engineering
Conceptual Modeling of Temporal Clinical Workflows
TIME '07 Proceedings of the 14th International Symposium on Temporal Representation and Reasoning
Modularity in Process Models: Review and Effects
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Controllability in Temporal Conceptual Workflow Schemata
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Temporal dynamic controllability revisited
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part I
Temporal Information Systems in Medicine
Temporal Information Systems in Medicine
Journal of Biomedical Informatics
Towards Temporal Controllabilities for Workflow Schemata
TIME '10 Proceedings of the 2010 17th International Symposium on Temporal Representation and Reasoning
The NestFlow interpretation of workflow control-flow patterns
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
A structural characterization of temporal dynamic controllability
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Conceptual modeling of flexible temporal workflows
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Guideline-based careflow systems
Artificial Intelligence in Medicine
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Workflow technology has emerged as one of the leading technologies in modeling, redesigning, and executing medical processes and some interesting workflow management systems are available. Nevertheless, such systems are lacking in an effective management of two key aspects: data dependencies and temporal constraints. In clinical/health context these two aspects are of paramount importance. For example, a surgery intervention could need the results of the concurrent bioptic analysis to be properly concluded; on the other hand, to successfully apply a fibrinolytic therapy to patients with ST-segment Elevation Myocardial Infarction (STEMI) a maximum delay of 30 minutes must be considered w.r.t. the emergency department admission. In this paper, we propose TNest, a new advanced, structured and highly modular workflow modeling language that allows one to easily express data dependencies and time constraints during process design. All the features of TNest have been considered to model the process related to classical clinical guidelines, i.e. those for the management of STEMI patients, published by the American College of Cardiology/American Heart Association.