OpenClinical logo

Software downloads
Czech Republic    Stepper
Mark-up tool for marrative guidelines

developed by keywords
EuroMISE centrum – Kardio, University of Economics, Prague, Czech Republic Knowledge representation, clinical practice guideline document model, clinical practice guidelines, XML, computer interpretable guidelines, markup
status Download details
Under continued development.  bullet  A current version of Stepper can be downloaded from the Stepper website for evaluation and/or research purposes
description
 bullet  See Stepper description under guideline models and technologies [OC]
references
Ružicka M., Svátek V. Mark–up based analysis of narrative guidelines with the Stepper tool. Proc. Symposium on Computerized Guidelines and Protocols (CGP-04), Praha 2004. IOS Press.

[]   [University of Economics, Prague]

"The Stepper tool was developed to assist a knowledge engineer in developing a computable version of narrative guidelines. The system is document-centric: it formalises the initial text in multiple user-definable steps corresponding to interactive XML transformations. In this paper, we report on experience obtained by applying the tool on a narrative guideline document addressing unstable angina pectoris. Possible role of the tool and associated methodology in developing a guideline-based application is also discussed."

Svátek V, Ružicka M. Step-by-step mark-up of medical guideline documents. Int J Med Inform. 2003 Jul;70(2-3):329-35.

[PubMed]   [ScienceDirect]

" Approaches to formalization of medical guidelines can be divided into model-centric and document-centric. While model-centric approaches dominate in the development of clinical decision support applications, document-centric, mark-up-based formalization is suitable for application tasks requiring the 'literal' content of the document to be transferred into the formal model. Examples of such tasks are logical verification of the document or compliance analysis of health records. The quality and efficiency of document-centric formalization can be improved using a decomposition of the whole process into several explicit steps. We present a methodology and software tool supporting the step-by-step formalization process. The knowledge elements can be marked up in the source text, refined to a tree structure with increasing level of detail, rearranged into an XML knowledge base, and, finally, exported into the operational representation. User-definable transformation rules enable to automate a large part of the process. The approach is being tested in the domain of cardiology. For parts of the WHO/ISH Guidelines for Hypertension, the process has been carried out through all the stages, to the form of executable application, generated automatically from the XML knowledge base. "

Ružicka M., Svátek V.: An interactive approach to rule–based transformation of XML documents, In: Lubos Popelínský (ed.), Datakon 2003, Proceedings of the Annual Database Conference, p. 277–288.

[]   [University of Economics, Prague]

" The quality of document–centric formalisation of medical guidelines can be improved using a decomposition of the whole process into several explicit steps. We present a methodology and a software tool supporting the step–by–step formalisation process. The knowledge elements can be marked up in the text with increasing level of detail, rearranged into an XML knowledge base and exported into the operational representation. Semi–automated transitions can be specified by means of rules. The approach has been tested in a hypertension application. "
contact links
Marek Ružicka or
Vojtech Svátek
University of Economics Prague
Nam. W. Churchilla 4
13067 Praha 3
Czech Republic


Web: Vojtech Svátek's home page
 bullet  Stepper - further information under guideline models and technologies [OC]
Acknowledgement
Marek Ružicka, Vojtech Svátek, University of Economics, Prague
Entry on OpenClinical: 20 October 2004
Last main update: 20 October 2004.
Search this site
 
Privacy policy User agreement Copyright Feedback

Last modified:
© Copyright OpenClinical 2001-2007