Modeling Treatment Processes Using Information Extraction

Team 

Katharina Kaiser, Vienna University of Technology, Institute of Software Technology and Interactive Systems, Vienna, Austria
Silvia Miksch, Vienna University of Technology, Institute of Software Technology and Interactive Systems, Vienna, Austria and Danube University Krems, Department of Information and Knowledge Engineering, Krems, Austria

Contact Person  Katharina Kaiser
 
Project 

Modeling clinical guidelines and protocols in a computer-interpretable format is a challenging, but burdensome and time-consuming task. Existing methods and tools to support this task demand detailed medical knowledge, knowledge about the formal representations, and a manual modeling. Furthermore, formalized guideline documents mostly fall far short in terms of readability and understandability for the human domain modeler.

In this project we propose a methodology to support the human modeler by both automating parts of the modeling process and making the modeling process traceable and comprehensible.

Our methodology called LASSIE, represents a novel step-wise procedure that uses Information Extraction to semi-automatically model treatment processes (see Figure 1). We have developed several heuristics without the need to apply Natural Language Understanding. Finally, we integrated our heuristics in a form of a framework and applied them to several guidelines from the medical subject of otolaryngology. The framework has been applied to formalize the guidelines in the formal Asbru plan representation.


Figure 1: LASSIE methodology. Steps to semi-automatically transform clinical practice guidelines to a (semi-)formal representation (e.g., Asbru).
 

Findings of our evaluation indicate that using semi-automatic, step-wise Information Extraction methods are a valuable instrument to formalize clinical guidelines and protocols.

Papers 
  • K. Kaiser, S. Miksch: Modeling Treatment Processes Using Information Extraction, In Lakhmi Jain (ed.) Computational Intelligence in Healthcare, Springer Verlag, forthcoming.
     
  • K. Kaiser, C. Akkaya, S. Miksch: How can Information Extraction ease formalizing treatment processes in clinical practice guidelines? A method and its evaluation, Artificial Intelligence in medicine, forthcoming.
     
  • K. Kaiser: LASSIE - Modeling Treatment Processes Using Information Extraction, PhD thesis, Institute of Software Technology & Interactive Systems, Vienna University of Technology, Nov. 2005.
     
  • K. Kaiser, C. Akkaya, S. Miksch: Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. In Proc. of the 10th Conference on Artificial Intelligende in Medicine (AIME 2005), Aberdeen, UK, 2005.
     
  • K. Kaiser: Semi-automatic Transformation of Structured Guideline Components into Formal Process Representations. In: 1st Doctoral Consortium at the Conference on Artificial Intelligence in Medicine (AIME 2005), Aberdeen, UK, 2005.
     
  • K. Kaiser: Knowledge-based Methods for Facilitating the Creation of Asbru Protocols. In J. Evermann, E. Söderström, J. Kotlarsky (eds.) Proc. of the 10th Doctoral Consortium on Advanced Information Systems Engineering (at CAiSE*03), University of Skövde, Sweden, pages 101 - 111, June 2003.
     
Related Work 
Funding 

This project is supported by "Fonds zur Förderung der wissenschaftlichen Forschung FWF" (Austrian Science Fund), grant P15467-INF.