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International Journal of Computer Assisted Radiology and Surgery
Published in: International Journal of Computer Assisted Radiology and Surgery 8/2017

01-08-2017 | Original Article

Application fields for the new Object Management Group (OMG) Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN) in the perioperative field

Authors: M. Wiemuth, D. Junger, M. A. Leitritz, J. Neumann, T. Neumuth, O. Burgert

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 8/2017

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Abstract

Purpose

Medical processes can be modeled using different methods and notations. Currently used modeling systems like Business Process Model and Notation (BPMN) are not capable of describing the highly flexible and variable medical processes in sufficient detail.

Methods

We combined two modeling systems, Business Process Management (BPM) and Adaptive Case Management (ACM), to be able to model non-deterministic medical processes. We used the new Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN).

Results

First, we explain how CMMN, DMN and BPMN could be used to model non-deterministic medical processes. We applied this methodology to model 79 cataract operations provided by University Hospital Leipzig, Germany, and four cataract operations provided by University Eye Hospital Tuebingen, Germany. Our model consists of 85 tasks and about 20 decisions in BPMN. We were able to expand the system with more complex situations that might appear during an intervention.

Conclusion

An effective modeling of the cataract intervention is possible using the combination of BPM and ACM. The combination gives the possibility to depict complex processes with complex decisions. This combination allows a significant advantage for modeling perioperative processes.
Literature
1.
Anderson BO, Braun S, Carlson RW, Gralow JR, Lagios MD, Lehman C, Schwartsmann G, Vargas HI (2003) Overview of breast health care guidelines for countries with limited resources. Breast J 9(s2):S42–S50CrossRefPubMed
2.
3.
Braun R, Schlieter H, Burwitz M, Esswein W (2015) Extending a business process modeling language for domain-specific adaptation in healthcare. Wirtschaftsinformatik Proceedings 2015
4.
Buzink SN, van Lier L, de Hingh Ignace H J T, Jakimowicz JJ (2010) Risk-sensitive events during laparoscopic cholecystectomy: the influence of the integrated operating room and a preoperative checklist tool. Surg Endosc 24(8):1990–1995CrossRefPubMedPubMedCentral
5.
Fink E (2015) Ein Framework zur nutzerzentrierten Visualisierung perioperativer Prozesse. Master-Thesis, Hochschule Reutlingen, Medien- und Kommunikationsinformatik
6.
Fink E, Hlavac M, Wirtz CR, Burgert O (2013) Workflow, ergonomics and new concepts in surgery. Conceptual design of an intraoperative user interface for a workflow management system for surgical planning and intraoperative support. Int J CARS 8(S1):171–179CrossRef
7.
Fischer L (ed) (2012) How knowledge workers get things done. Real-world adaptive case management. Excellence in practice series. Future Strategies, Lighthouse Point
8.
Fischer L (ed) (2015) Thriving on adaptability. Best practices for knowledge workers. Excellence in practice series. Future Strategies, Lighthouse Point
9.
Forestier G, Lalys F, Riffaud L, Louis Collins D, Meixensberger J, Wassef SN, Neumuth T, Goulet B, Jannin P (2013) Multi-site study of surgical practice in neurosurgery based on surgical process models. J Biomed Inf 46(5):822–829CrossRef
10.
11.
Haynes AB, Weiser TG, Berry WR, Lipsitz SR, Breizat A-HS, Dellinger EP, Herbosa T, Joseph S, Kibatala PL, Lapitan MCM, Merry AF, Moorthy K, Reznick RK, Taylor B, Gawande AA (2009) A surgical safety checklist to reduce morbidity and mortality in a global population. N Engl J Med 360(5):491–499CrossRefPubMed
12.
Neumann J, Rockstroh M, Franke S, Neumuth T (2016) BPMNSIX—A BPMN 2.0 surgical intervention extension. In 7th workshop on modeling and monitoring of computer assisted interventions (M2CAI), 19th international conference on medical image computing and computer assisted interventions (MICCAI 2016), Athens, Greece
13.
Jannin P, Morandi X (2007) Surgical models for computer-assisted neurosurgery. NeuroImage 37(3):783–791CrossRefPubMed
14.
Kohn LT, Corrigan J, Donaldson MS (2000) To err is human building a safer health system. Quality chasm series. National Academy Press, Washington, DC
15.
Lalys F, Jannin P (2014) Surgical process modelling: a review. Int J Comput Assist Radiol Surg 9(3):495–511CrossRefPubMed
16.
Neumann J, Rockstroh M, Vinz S, Neumuth T (2015) Technical report: surgical workflow and process modeling. Universität Leipzig, ICCAS
17.
Neumann J, Wiemuth M, Burgert O, Neumuth T (2017) Application of activity semantics and BPMN 2.0 in the generation and modeling of generic surgical process models. In Submitted at: Computer Assisted Radiology and Surgery
18.
19.
Neumuth T, Jannin P, Schlomberg J, Meixensberger J, Wiedemann P, Burgert O (2011) Analysis of surgical intervention populations using generic surgical process models. Int J Comput Assist Radiol Surg 6(1):59–71CrossRefPubMed
20.
Neumuth T, Pretschner A, Trantakis C, Fischer M, Lemke HU, Burgert O (2005) An approach to XML-based description of intraoperative surgical workflows. In: XML-Tage 2005 in Berlin [Tagungsband], Rainer Eckstein, Ed. 12.–14. September 2005 in Berlin. Universität Berlin. Berlin: Humboldt-Univ, pp 147–152
21.
Niederlag W (ed) (2014) Der digitale Operationssaal. Health academy 2. De Gruyter, Berlin
22.
23.
24.
25.
26.
Padoy N, Blum T, Ahmadi S-A, Feussner H, Berger M-O, Navab N (2012) Statistical modeling and recognition of surgical workflow. Med Image Anal 16(3):632–641CrossRefPubMed
27.
Simpson DD (2004) A conceptual framework for drug treatment process and outcomes. J Subst Abuse Treat 27(2):99–121CrossRefPubMed
28.
Swenson KD (2010) Mastering the unpredictable. How adaptive case management will revolutionize the way that knowledge workers get things done. Landmark books. Meghan-Kiffer Press, Tampa
29.
Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, Verweij J, van Glabbeke M, van Oosterom AT, Christian MC, Gwyther SG (2000) New guidelines to evaluate the response to treatment in solid tumors. JNCI J Natl Cancer Inst 92(3):205–216CrossRef
Metadata
Title
Application fields for the new Object Management Group (OMG) Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN) in the perioperative field
Authors
M. Wiemuth
D. Junger
M. A. Leitritz
J. Neumann
T. Neumuth
O. Burgert
Publication date
01-08-2017
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 8/2017
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1608-3

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