Abstract
The formalization and analysis of medical guidelines play an essential role in clinical practice nowadays. Due to their inexorably generic nature such guidelines leave room for different interpretation and implementation. Hence, it is desirable to understand this variability and its implications for patient treatment in practice. In this paper we propose an approach for comparing guideline-based treatment processes with empirical treatment processes. The methodology combines ideas from workflow modeling, process simulation, process mining, and statistical methods of evidence-based medicine. The applicability of the approach is illustrated based on the Cutaneous Melanoma use case.
The work presented in this paper was conducted in the context of the EBMC2 project that is co-funded by the University of Vienna and the Medical University of Vienna.
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References
van der Aalst, W.M.P.: Process Mining – Discovery, Conformance and Enhancement of Business Processes. Springer, New York (2011)
Alves De Medeiros, A.K., Günther, C.W.: Process mining: Using CPN tools to create test logs for mining algorithms. In: Proceedings of the Sixth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, pp. 177–190 (2005)
Benthem, J.V.: The Logic of Time. Reidel, Dordrecht (1983)
Blobel, B.: Advanced EHR architectures – promises or reality? Methods Inf. Med. 45(1), 95–101 (2006)
Cochrane, A.: Effectiveness and Efficiency – Random Reflections on Health Services. Royal Society of Medicine Press, London (1972)
Eichelberg, M., Aden, T., Riesmeier, J.: A survey and analysis of electronic healthcare record standards. ACM Computing Surveys 37(4), 277–315 (2005)
Fox, J., Black, E., Chronakis, I., Dunlop, R., Petkar, V., South, M., Thomson, R.: From guidelines to careflows: Modelling and supporting complex clinical processes. In: Computer-Based Medical Guidelines and Protocols: A Primer and Current Trends, pp. 44–61. IOS Press, Netherlands (2008)
Gall, W., Grossmann, W., Duftschmid, G., Wrba, T., Dorda, W.: Analyses of EHRs for research, quality management and health politics. In: Proc. MIE 2008, XXIst International Congress of the European Federation for Medical Informatics. Studies in Health Technology and Informatics, vol. 136, pp. 425–430 (2008)
Garbe, C., Peris, K., Hauschild, A., Saiag, P., Middleton, M., Spatz, A., Grob, J., Malvehy, J., Newton-Bishop, J., Stratigos, A., Pehamberger, H., Eggermont, A.: Diagnosis and treatment of melanoma: European consensus-based interdisciplinary guideline. European Journal of Cancer 46(2), 270–283 (2010)
Guyatt, G., Oxman, A., Schüneman, H., Tugwell, P., Knottnerus, A.: Grade guidelines: A new series of articles in the journal of clinical epidemiology. Journal of Clinical Epidemiology 64, 380–382 (2011)
Häyrinen, K., Saranto, K., Nykänen, P.: Definition, structure, content, use and impacts of electronic health records: A review of the research literature. Int. J. Medical Informatics 77, 291–304 (2008)
Hunter, A., Williams, M.: Using clinical preferences in argumentation about evidence from clinical trials. In: Proc. 1st ACM Int’l. Health Informatics Symposium (2010)
Jansen-Vullers, M., Netjes, M.: Business process simulation – a tool survey. In: Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, Aarhus, Denmark (2006)
Koch, O.: Process-based and context-sensitive information supply in medical care. In: Proc. 2nd Int. Workshop on Context-Based Information Retrieval. Computer Science Research Report 114, pp. 93–104. Roskilde University, Denmark (2007)
Ly, T., Rinderle-Ma, S., Göser, K., Dadam, P.: On enabling integrated process compliance with semantic constraints in process management systems – requirements, challenges, solutions. Information Systems Frontiers, 1–25 (2009)
Mans, R.: Workflow Support for the Healthcare Domain. Proefschriftmaken.nl, Netherlands (2011)
Mans, R.S., Schonenberg, M.H., Song, M., Aalst, W.M.P., Bakker, P.J.M.: Application of process mining in healthcare – a case study in a dutch hospital, vol. 25, pp. 425–438 (2009)
Marsland, S.: Machine Learning – An Algorithmic Perspective. Chapman & Hall/CRC, Boca Raton (2009)
OpenClinical, http://www.openclinical.org/gmmintro.html (accessed July 28, 2011)
Oxford Centre for Evidence-Based Medicine, http://www.cebm.net/index.aspx?o=5653 (accessed July 28, 2011)
Perleth, M., Busse, R., Gerhardus, A., Gibis, B., Luhmann, D.: Health Technology Assessment: Konzepte, Methoden, Praxis für Wissenschaft und Entscheidungsfindung. Berliner Schriftenreihe Gesundheitswissenschaften, Medizinisch Wissenschaftliche Verlagsgesellschaft (2008)
Rescher, J., Urquhart, A.: Temporal Logic. Springer, New York (1971)
Rosenfeld, R., Shiffman, R.N.: Clinical practice guideline development manual: A quality driven approach for translating evidence into action. Otolaryngol. Head. Neck Surg. 140(6 suppl. 1), 1–43 (2009)
Rozinat, A., van der Aalst, W.M.P.: Decision Mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420–425. Springer, Heidelberg (2006)
Shiffman, R.N., Karras, B., Agrawal, A., Chen, R., Marenco, L., Nath, S.: Gem: a proposal for a more comprehensive guideline document model using xml. Journal of the American Medical Informatics Assoc. 7, 488–498 (2000)
The Cochrane Collaboration, http://www.cochrane.org/ (accessed July 28, 2011)
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Dunkl, R., Fröschl, K.A., Grossmann, W., Rinderle-Ma, S. (2011). Assessing Medical Treatment Compliance Based on Formal Process Modeling. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_37
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