CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS

Carlos Fernández-Llatas, Teresa Meneu, Jose Miguel Benedí, Vicente Traver

2011

Abstract

The standardization of care processes in medicine, like Clinical pathways, is becoming more and more a common practice in health care organizations. Nevertheless, their design is not an easy task. Some approaches in the literature are based on using Workflow technology for defining Clinical Pathways. These approaches allow the creation of unambiguous, complete and automatically executable protocols. In addition to this, the use of Process Mining technology can help the design using information from real executions of Clinical Pathways cases. Nevertheless, to ensure a correct continuous evaluation and improvement of care processes, the creation of a tool that allows to know the current status of the Clinical Pathway execution it’s mandatory. In this paper, we present a tool able to compare the designed Clinical Pathways with the real implantation cases in order to detect their differences. This allows Clinical Pathways designers to improve the care protocols making them more adequate to real cases.

References

  1. Audimoolan, S., Nair, M., Gaikward, R., and Qing, C. (2005). The role of clinical pathways. Improving Patient Outcomes, February:-.
  2. Billington, J., Christensen, S., Van Hee, K., Kindler, E., Kummer, O., Petrucci, L., Post, R., Stehno, C., and Weber, M. (2003). The petri net markup language: concepts, technology, and tools. In ICATPN'03: Proceedings of the 24th international conference on Applications and theory of Petri nets, pages 483-505, Berlin, Heidelberg. Springer-Verlag.
  3. Dominguez, D., Fernández, C., Meneu, T., Mocholi, J. B., and Seraffin, R. (2008). Medical guidelines for the patient: Introducing the life assistance protocols. In Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, volume 139, pages 282-293. IOS Press.
  4. Ellson, J., Gansner, E., Koutsofios, E., North, S., and Woodhull, G. (2004). Graphviz and dynagraph - static and dynamic graph drawing tools. In Junger, M. and Mutzel, P., editors, Graph Drawing Software, Mathematics and Visualization, pages 127-148. SpringerVerlag, Berlin/Heidelberg.
  5. Elstein, A. (2004). On the origins and development of evidence-based medicine and medical decision making. Springer, ago 2004:184-189.
  6. Fernández, C. and Benedí, J. M. (2008). Timed parallel automaton learning in workflow mining problems. In Ciencia y Tecnología en la Frontera, number special 2008, pages 181-187.
  7. Fernández, C., Sanchez, C., Traver, V., and Benedí, J. M. (2008). Tpaengine: Un motor de workflows basado en tpas. In Ciencia y Tecnología en la Frontera ISSN:1665-9775.
  8. Fernández-Llatas, C., Meneu, T., Benedí, J. M., and Traver, V. (2010). Activity-based process mining for clinical pathways computer aided design. In Proceeding of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
  9. Heart Cycle Consortium (2008). Vii framework program ist project 216695:compliance and effectiveness in hf and chd closed-loop management 2008-2011.
  10. Naranjo, J. C., Fernandez, C., Pomes, S., and Valdivieso, B. (2006). Care-paths: Searching the way to implement pathways. Computers in Cardiology, 33:285-288.
  11. Peleg, M., Boxwala, A. A., Bernstam, E., Tu, S. W., Greenes, R. A., and Shortliffe, E. H. (2001). Sharable representation of clinical guidelines in glif: Relationship to the arden syntax. Journal of Biomedical Informatics, 34(3):170-181.
  12. PubMed Library (2010). National library of medicine and the national institutes of health pubmed library: http://www.pubmed.gov.
  13. Rulot, H. and Vidal, E. (1987). Modelling (sub)stringlength based constraints through a grammatical inference method. In Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications, pages 451-459, London, UK. Springer-Verlag.
  14. The Cochrane Collaboration (2010). http://www.cochrane.org/index.htm.
  15. Van der Aalst, W. M. P., Barros, A. P., ter Hofstede, A. H. M., and Kiepuszewski, B. (2003a). Workflow patterns. Distributed and Parallel Databases, page 70.
  16. Van der Aalst, W. M. P., van Dongen, B. F., Herbst, J., Maruster, L., Schimm, G., and Weijters, A. J. M. M. (2003b). Workflow mining: A survey of issues and aproaches. Data and Knowledge Engineering 47 2003, pages 237-267.
  17. Van Dongen, B. F., de Medeiros, A. K. A., Verbeek, H. M. W., Weijters, A. J. M. M., and van der Aalst, W. M. P. (2005). The prom framework: A new era in process mining tool support. In ICATPN, pages 444-454.
  18. WfMC (1999). Workflow Management Coalition Terminology Glossary. WFMC-TC-1011, Document Status Issue 3.0.
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Paper Citation


in Harvard Style

Fernández-Llatas C., Meneu T., Benedí J. and Traver V. (2011). CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 228-234. DOI: 10.5220/0003153902280234


in Bibtex Style

@conference{healthinf11,
author={Carlos Fernández-Llatas and Teresa Meneu and Jose Miguel Benedí and Vicente Traver},
title={CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={228-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003153902280234},
isbn={978-989-8425-34-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
SN - 978-989-8425-34-8
AU - Fernández-Llatas C.
AU - Meneu T.
AU - Benedí J.
AU - Traver V.
PY - 2011
SP - 228
EP - 234
DO - 10.5220/0003153902280234