inFormation Extractor of cLInical Practice guidElines




A short description

FELIPE is a system which, in completely automatic mode, extracts and structures information of Clinical Practice Guidelines (CPGs) from textual documents. Original guidelines are unstructured or semi-structured textual documents (e.g., guidelines delivered by National Guideline Clearinghouse) Each CPG contains practices and indications of a specific health condition/disease for a set of medical decision problems (e.g., diagnosis, treatment, etc.).The output generated by FELIPE is a filled template in the form of a XML-file compliant the standard Clinical Document Architecture (CDA-HL7 v3): each final guideline contains practices and indications concerning a specific health condition/disease for a specific medical decision problem, while each outer node contains a specific practice or indication of the original CPG.

Top of this page  

Functional Architecture

The functional architecture consists of two main components:


Figure 1: Functional architecture of FELIPE system.

Top of this page

Web Server Architecture

FELIPE was also integrated into a web-server framework (Figure 2). The process of extraction of the information of CPGs is completely executed on side-server, then, once structured in XML files, guidelines are stored in a relational database through a transformation step (DB Populator) from semi-structured representation to the structured relational one. Clinical Practices Guidelines are then accessible and retrievable by means of two web-services, namely Query Web Service Request Guideline Web Service, invokable through a web-based Interface. The first retrieves a result set of possible CPGs, while the second returns an only one and specific CPG. The results of both queries are represented in the standard CDA-HL7 v3 formalism.


Figure 2: Block-diagram of the web-server architecture hosting FELIPE system.

Top of this page

Metabolic Syndrome Application

This application consists of the extraction and structuring of information contained in some sections of the textual CPGs concerning metabolic pathologies and syndromes. In this application FELIPE exploits domain-dependent controlled vocabularies and grammars as well as a rule-base hand-coded by knowledge engineers and domain experts ().Consider, for instance, the guideline of Metabolic Syndrome which illustrates practices and indications for the decision problems of Diagnosis, Management, Prevention, Risk Assessment, Treatment (see Figure 3)


Figure 3: An excerpt of the clinical guideline on "Metabolic Syndrome".

The information extracted and structured by FELIPE the problem of Diagnosis is displayable follows:


Top of this page

Project team

Donato Malerba

Corrado Loglisci Michelangelo Ceci


Related publications

(in inverse chronological order)

Top of this page


Last Update: Mon Aug 10 2015 16:39:48 GMT+0200 (CEST)Last Update: Wed Jun 13 2007 05:13:33 GMT+0200 (ora legale Europa occidentale)