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Supporting and Optimizing Clinical Guidelines Execution Luca Anselma+, Stefania Montani*
 

Summary: Planning
Supporting and Optimizing Clinical Guidelines Execution
Luca Anselma+, Stefania Montani*
+ Dipartimento di Informatica, Universitą di Torino, Italy
* Dipartimento di Informatica, Universitą del Piemonte Orientale, Alessandria, Italy
1. Introduction
A crucial feature of computerized clinical guidelines (CGs) lies in the fact that they
may be used not just as conventional documents (as if they were just free text)
describing general procedures that users have to follow. In fact, computerized CGs,
thanks to a description in some semiformal representation language, can also take
advantage from Computer Science methods and Information Technology
infrastructures and techniques. In other words, CGs are also executable documents, in
the sense that they may support clinical decision making and optimize therapeutic
actions that are to be performed.
This chapter is organized in two parts: the first part discusses planning in Artificial
Intelligence (AI), the second part specifically deals with the execution of CGs.
The area of planning in AI has been considerably developed during the last few
years, and it is closely related to the topic of execution of CGs. In the first part of this
chapter, a description of the state of the art of planning in AI, the issues that have been
already addressed and how they were managed is provided. In fact, although ­ as

  

Source: Anselma, Luca - Dipartimento di Informatica, Universitą di Torino

 

Collections: Computer Technologies and Information Sciences