Abstract
Statistics on medical errors and their consequences has astonished, during last years, both healthcare professionals and ordinary people. This work illustrates the possible error causes and, for some of them, it suggests solutions based on information and communication technology. In particular, process mining techniques are proposed as a mean to discover not only individuals’ error, but also chains of responsibilities. Both supervised and unsupervised process mining will be addressed. The former compares real processes with a known process model (e.g. a clinical practice guideline), while the latter mines processes from rough data, without imposing any model. Potentiality of these techniques is illustrated by means of examples from stroke patient management.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Kohn, L.T., Corrigan, J.M., Donaldson, M.S. (Institute of Medicine). To err is human: building a safer health system. National Academy Press, Washington (2000)
Singer, P.A., Wu, A.W., Fazel, S., McMillan, J.: Medical errors and medical culture. BMJ 322, 1236–1240 (2001)
British Medical Journal, http://www.bmj.com/cgi/content/full/323/7312/570
Micieli, G., Cavallini, A., Quaglini, S.: Guideline Application for Decision Making in Ischemic Stroke (GLADIS) Study Group. Guideline compliance improves stroke outcome: a preliminary study in 4 districts in the Italian region of Lombardia. Stroke 33(5), 1341–1347 (2002)
van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering 47(2), 237–267 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Quaglini, S. (2009). Process Mining in Healthcare: A Contribution to Change the Culture of Blame. In: Ardagna, D., Mecella, M., Yang, J. (eds) Business Process Management Workshops. BPM 2008. Lecture Notes in Business Information Processing, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00328-8_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-00328-8_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00327-1
Online ISBN: 978-3-642-00328-8
eBook Packages: Computer ScienceComputer Science (R0)