Modeling Interdependencies between Information Processes and Communication Paths in Hospitals

Brigl, Birgit; Strübing, Alexander; Wendt, Thomas; Winter, Alfred

doi:10.1055/s-0038-1634054

Cited by 4 publications

(2 citation statements)

References 21 publications

(20 reference statements)

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“…For the number of references, we used a function in the MetaCore software that provides the number of references between two connected proteins in a network. For the number of nodes, we used the Floyd-Warshall algorithm that was originally designed to find the shortest paths between all pairs of nodes based on dynamic programming [13]. To apply this algorithm to our problem of estimating the number of nodes, we modified the original Floyd-Warshall algorithm such that an equal weight of 1 was assigned to all connected edges in a network.…”

Section: Methodsmentioning

confidence: 99%

A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

Wong

Wang

et al. 2012

PLoS ONE

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The number of biomarker candidates is often much larger than the number of clinical patient data points available, which motivates the use of a rational candidate variable filtering methodology. The goal of this paper is to apply such a bioinformatics filtering process to isolate a modest number (<10) of key interacting genes and their associated single nucleotide polymorphisms involved in radiation response, and to ultimately serve as a basis for using clinical datasets to identify new biomarkers. In step 1, we surveyed the literature on genetic and protein correlates to radiation response, in vivo or in vitro, across cellular, animal, and human studies. In step 2, we analyzed two publicly available microarray datasets and identified genes in which mRNA expression changed in response to radiation. Combining results from Step 1 and Step 2, we identified 20 genes that were common to all three sources. As a final step, a curated database of protein interactions was used to generate the most statistically reliable protein interaction network among any subset of the 20 genes resulting from Steps 1 and 2, resulting in identification of a small, tightly interacting network with 7 out of 20 input genes. We further ranked the genes in terms of likely importance, based on their location within the network using a graph-based scoring function. The resulting core interacting network provides an attractive set of genes likely to be important to radiation response.

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Section: Methodsmentioning

confidence: 99%

A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

Wong

Wang

et al. 2012

PLoS ONE

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“…It is, therefore, important to detect any possible communication errors. However, the current methods seem to be not optimal for the assessment of computer-based communication processes (Brigl, Strübing, Wendt, & Winter, 2006) -they either perform e.g., time measurements, e.g., MOSAIK-M (Hoffmann, Bergmann, Bott, & Pretschner, 2005) or reachability analyses on Petri-net based models in order to detect bottlenecks and the best performing variations (Blake, Carter, O'Brien-Pallas, & McGillis-Hall, 1995). Others, such as the method of Alexopoulos et al (2001), were developed to analyze those processes that show significant variations in their executions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Automated Examination of Communication Processes in Integrated Health Information Systems

Saboor

Hörbst

Ammenwerth

2013

International Journal of Knowledge-Based Organizations

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Modern, integrated information and communication systems (ICT) help improve the communication along processes in hospitals. The goal of this paper is to present a reusable and holistic concept which allows the detailed and systematic description of arbitrary communication processes, as well as the detection of communication errors. This is realized by mapping attributes of communication processes to an entity relationship model respectively database and applying specific, predefined queries on the stored process attributes and their relationships, resulting in the detection of potential communication errors. To develop the authors’ concept, they used a methodological approach which was inspired by the concept of Rapid Application Development and adapted in order to develop their model. Furthermore, techniques of qualitative content analysis, as well as expert interviews, were used to develop the authors’ approach. The components of their approach have been successfully evaluated with different communication processes and they were able to detect major potential communication errors. To fully proof the authors’ concept, further tests with complex communication processes are indicated. Tool-support is on a prototype-level and needs further improvement towards standardization and usability. To transfer their concept from scientific use to daily operation, it is also necessary to further analyze and coordinate the concept with existing approaches from the domain such as business process modeling etc.

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A Concept for the Assessment of Electronic Communication in Integrated Information Systems

Saboor

Ammenwerth

2009

Business Process Management Workshops

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Modeling Interdependencies between Information Processes and Communication Paths in Hospitals

Cited by 4 publications

References 21 publications

A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

Modeling and Automated Examination of Communication Processes in Integrated Health Information Systems

A Concept for the Assessment of Electronic Communication in Integrated Information Systems

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