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In this paper, we propose an approach for managing clinical guidelines. We outline a modular architecture, allowing us to separate two conceptually distinct aspects: the representation (and acquisition) of clinical guidelines and their execution. We propose an expressive formalism, which allows one to deal with the context-dependent character of clinical(More)
The adaptation of clinical guidelines to specific contexts is a fundamental task to promote guideline dissemination and use. Several aspects of contextualization need to be faced, including the adaptation of guidelines to local resource availability and (for computer-based guideline approaches) to local software environment. We show how a computer-based(More)
GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent system for the acquisition, representation and execution of clinical guidelines. GLARE is unique in its approach to supporting the decision-making process of users/physicians faced with various alternatives in the guidelines. In many cases, the best alternative cannot be(More)
One of the most relevant obstacles to the use and dissemination of clinical guidelines is the gap between the generality of guidelines (as defined, e.g., by physicians' committees) and the peculiarities of the specific context of application. In particular, general guidelines do not take into account the fact that the tools needed for laboratory and(More)
We present GLARE, a domain-independent system for acquiring, representing and executing clinical guidelines (GL). GLARE is characterized by the adoption of Artificial Intelligence (AI) techniques in the definition and implementation of the system. First of all, a high-level and user-friendly knowledge representation language has been designed. Second, a(More)
OBJECTIVE In this paper, we aim at defining a general-purpose data model and query language coping with both "telic" and "atelic" medical data. BACKGROUND In the area of Medical Informatics, there is an increasing realization that temporal information plays a crucial role, so that suitable database models and query languages are needed to store and(More)
OBJECTIVES Clinical guidelines (GLs) are assuming a major role in the medical area, in order to grant the quality of the medical assistance and to optimize medical treatments within healthcare organizations. The verification of properties of the GL (e.g., the verification of GL correctness with respect to several criteria) is a demanding task, which may be(More)
In our previous work, we proposed a domain-independent language to describe clinical guidelines and a graphical tool to acquire them. In this paper, we describe an approach to execute clinical guidelines. We propose a flexible execution engine that can be used in clinical decision support applications, and also for medical education, or for integrating(More)
GLARE (GuideLine Acquisition, Representation and Execution) is a domain-independent system for the acquisition, representation and execution of clinical guidelines. Temporal constraints play an important role within clinical guidelines (e.g. to specify therapies). The treatment of such constraints is one of the distinguishing features of GLARE. During(More)