Automatic treatment of temporal issues in clinical guidelines in the GLARE system.
Temporal constraints play a fundamental role in clinical guidelines. For example, temporal indeterminacy, constraints about duration, delays between actions and periodic repetitions of actions are essential in order to cope with clinical therapies. This paper proposes a computer-based approach in order to deal with temporal constraints in clinical guidelines. Specifically, it provides the possibility to represent such constraints and reason with them (i.e., perform inferences in the form of constraint propagation). We first propose a temporal representation formalism and two constraint propagation algorithms operating on it, and then we show how they can be exploited in order to provide clinical guideline systems with different temporal facilities. Our approach offers several advantages: for example, during the guideline acquisition phase, it enables to represent temporal constraints and to check their consistency; during the execution phase, it allows the physician to check the consistency between action execution-times and the constraints in the guidelines, and to provide query answering and temporal simulation facilities (e.g., when choosing among alternative paths in a guideline).
Anselma
Luca
L
Dipartimento di Informatica, Università di Torino, Torino, Italy. anselma@di.unito.it
Terenziani
Paolo
P
Montani
Stefania
S
Bottrighi
Alessio
A
D000465:Algorithms; D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D003663:Decision Trees; D006801:Humans; D017410:Practice Guidelines as Topic; D013997:Time Factors