Evidence map›Paper›PMID 28516301›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

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.

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

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Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M WiemuthSchool of Informatics, Research Group Computer Assisted Medicine (CaMed) Reutlingen, Reutlingen University, Reutlingen, Germany. markus.wiemuth@reutlingen-university.de.ORCID http://orcid.org/0000-0002-1247-1243
D JungerSchool of Informatics, Research Group Computer Assisted Medicine (CaMed) Reutlingen, Reutlingen University, Reutlingen, Germany.
M A LeitritzCentre for Ophthalmology, University Eye Hospital Tuebingen, Tuebingen, Germany.
J NeumannInnovation Center for Computer Assisted Surgery (ICCAS), Leipzig University, Leipzig, Germany.
T NeumuthInnovation Center for Computer Assisted Surgery (ICCAS), Leipzig University, Leipzig, Germany.
O BurgertSchool of Informatics, Research Group Computer Assisted Medicine (CaMed) Reutlingen, Reutlingen University, Reutlingen, Germany. oliver.burgert@reutlingen-university.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMedical 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.

methodsWe 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).

resultsFirst, 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.

conclusionAn 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.

Indexed as

Critical PathwaysDecision Making, Computer-AssistedDecision Support Systems, ManagementModels, AnatomicCataract ExtractionGermanyHumansACMCMMNDMNPerioperative fieldProcess modelingSurgical workflow

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.