Abstract
The creation of tools supporting the automatization of the standardization and continuous control of healthcare processes can become a significant helping tool for clinical experts and healthcare systems willing to reduce variability in clinical practice. The reduction in the complexity of design and deployment of standard Clinical Pathways can enhance the possibilities for effective usage of computer assisted guidance systems for professionals and assure the quality of the provided care. Several technologies have been used in the past for trying to support these activities but they have not been able to generate the disruptive change required to foster the general adoption of standardization in this domain due to the high volume of work, resources, and knowledge required to adequately create practical protocols that can be used in practice. This chapter proposes the use of the PALIA algorithm, based in Activity-Based process mining techniques, as a new technology to infer the actual processes from the real execution logs to be used in the design and quality control of healthcare processes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsSpringer Nature is developing a new tool to find and evaluate Protocols. Learn more
References
Every NR, Hochman J, Becker R, Kopecky S, Cannon CP (2000) Critical pathways. A review. Circulation 101:461–465
The Cochrane Collaboration (2010) COCHRANE Library. http://www.cochrane.org/index.htm
PubMed Library (2010) National Library of Medicine and The National Institutes of Health PubMed Library. http://www.pubmed.gov
Peleg M, Boxwala AA, Bernstam E, Tu SW, Greenes RA, Shortliffe EH (2001) Sharable representation of clinical guidelines in GLIF: relationship to the arden syntax. J Biomed Inform 34(3):170–181
Shahar Y, Miksch S, Johnson P (1998) The asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artif Intell Med 14(1–2):29–51
WfMC (1999) Workflow management coalition terminology glossary. WFMC-TC-1011, Document Status Issue 3.0
Fernandez-Llatas C, Pileggi SF, Traver V, Benedi JM (2011) Timed parallel automaton: a mathematical tool for defining highly expressive formal workflows. In: Fifth Asia modelling symposium (AMS), 2011 IEEE computer society, pp 56–61
Naranjo JC, Fernandez-Llatas C, Pomes S, Valdivieso B (2006) Care-paths: searching the way to implement pathways. Comput Cardiol 33:285–288
Sedlmayr M, Rose T, Röhrig R, Meister M (2006) A workflow approach towards GLIF execution. In: Proceedings of the European conference on artificial intelligence (ECAI), Riva del Garda
Fox J, Black E, Chronakis I, Dunlop R, Patkar V, South M, Thomson R (2008) From guidelines to careflows: modelling and supporting complex clinical processes. Stud Health Technol Inform 139:44–62. PMID: 18806320
Fernandez-Llatas C, Meneu T, Traver V, Benedi J-M (2013) Applying evidence-based medicine in telehealth: an interactive pattern recognition approximation. Int J Environ Res Public Health 10(11):5671–5682
van der Aalst WMP, van Dongen BF, Herbst J, Maruster L, Schimm G, Weijters AJMM (2003) Workflow mining: a survey of issues and approaches. Data Knowl Eng 47:237–267
Fernandez-Llatas C, Meneu T, Benedi JM, Traver V (2010) Activity-based process mining for clinical pathways computer aided design. In: 32th annual international conference of the IEEE engineering in medicine and biology society, pp 6178–6181. PMID: 21097153
Cook J, Du Z (2005) Discovery thread interactions in a concurrent system. J Syst Softw 7:285–297
van der Aalst WMP (2011) Process mining: discovery, conformance and enhancement of business processes. Springer, Berlin [u.a.]
VI Framework Program I S T Project 507019 (2008) PIPS Project. Personalised Information Platform for life and health Services
Heart Cycle Consortium (2008) VII Framework Program IST Project 216695: compliance and effectiveness in HF and CHD closed-loop management 2008–2011
Weijters AJMM, Ribeiro JTS (2011) Flexible heuristics miner (FHM). In: 2011 IEEE symposium on computational intelligence and data mining (CIDM), pp 310–317
de Medeiros AKA, Weijters AJMM, van der Aalst WMP (2007) Genetic process mining: an experimental evaluation. Data Min Knowl Discov 14(2):245–304
van der Aalst W, Weijters A, Maruster L (2004) Workflow mining: discovering process models from event logs. IEEE Trans Knowl Data Eng 16:1128–1142
Alves de Medeiros AK, Dongen BF, van der Aalst WMP, Weijters AJMM (2004) Process mining extending the alpha algorithm to mine short loops. Technical report, WP113 Beta Paper Series Eindhoven University of Technology
Fernandez-Llatas C, Sanchez C, Traver V, Benedi JM (2008) TPAEngine: un motor de workflows basado en TPAs. In: Ciencia y Tecnologia en la Frontera. ISSN:1665-9775
Fernandez-Llatas C, Benedi J-M, Garcia-Gomez JM, Traver V (2013) Process mining for individualized behavior modeling using wireless tracking in nursing homes. Sensors 13(11):15434–15451
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media, New York
About this protocol
Cite this protocol
Fernandez-Llatas, C., Valdivieso, B., Traver, V., Benedi, J.M. (2015). Using Process Mining for Automatic Support of Clinical Pathways Design. In: Fernández-Llatas, C., García-Gómez, J. (eds) Data Mining in Clinical Medicine. Methods in Molecular Biology, vol 1246. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1985-7_5
Download citation
DOI: https://doi.org/10.1007/978-1-4939-1985-7_5
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-1984-0
Online ISBN: 978-1-4939-1985-7
eBook Packages: Springer Protocols