Assessing medical treatment compliance based on formal process modeling

Reinhold Dunkl; Karl Anton Fröschl; Wilfried Grossmann; Stefanie Rinderle-Ma

doi:10.1007/978-3-642-25364-5_37

Assessing medical treatment compliance based on formal process modeling

Reinhold Dunkl
, Karl Anton Fröschl
, Wilfried Grossmann
, Stefanie Rinderle-Ma

Vienna-UNI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

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.

Original language	English
Title of host publication	Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings
Pages	533-546
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-25364-5_37
State	Published - 2011
Externally published	Yes
Event	7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011 - Graz, Austria Duration: 25 Nov 2011 → 26 Nov 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7058 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011
Country/Territory	Austria
City	Graz
Period	25/11/11 → 26/11/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Healthcare Processes
Process Mining
Process Modeling

Access to Document

10.1007/978-3-642-25364-5_37

Cite this

Dunkl, R., Fröschl, K. A., Grossmann, W., & Rinderle-Ma, S. (2011). Assessing medical treatment compliance based on formal process modeling. In Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings (pp. 533-546). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7058 LNCS). https://doi.org/10.1007/978-3-642-25364-5_37

Dunkl, Reinhold ; Fröschl, Karl Anton ; Grossmann, Wilfried et al. / Assessing medical treatment compliance based on formal process modeling. Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings. 2011. pp. 533-546 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Dunkl, R, Fröschl, KA, Grossmann, W & Rinderle-Ma, S 2011, Assessing medical treatment compliance based on formal process modeling. in Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7058 LNCS, pp. 533-546, 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Graz, Austria, 25/11/11. https://doi.org/10.1007/978-3-642-25364-5_37

Assessing medical treatment compliance based on formal process modeling. / Dunkl, Reinhold; Fröschl, Karl Anton; Grossmann, Wilfried et al.
Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings. 2011. p. 533-546 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7058 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Assessing medical treatment compliance based on formal process modeling

AU - Dunkl, Reinhold

AU - Fröschl, Karl Anton

AU - Grossmann, Wilfried

AU - Rinderle-Ma, Stefanie

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Healthcare Processes

KW - Process Mining

KW - Process Modeling

UR - https://www.scopus.com/pages/publications/82155166482

U2 - 10.1007/978-3-642-25364-5_37

DO - 10.1007/978-3-642-25364-5_37

M3 - Conference contribution

AN - SCOPUS:82155166482

SN - 9783642253638

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 533

EP - 546

BT - Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings

T2 - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011

Y2 - 25 November 2011 through 26 November 2011

ER -

Dunkl R, Fröschl KA, Grossmann W, Rinderle-Ma S. Assessing medical treatment compliance based on formal process modeling. In Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings. 2011. p. 533-546. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-25364-5_37

Assessing medical treatment compliance based on formal process modeling

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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