Martin Juhrisch

Convolution as the Key for Service-Identification in Complex Process Models

Process models contain a lot of information. However, even created with the goal of enhancing the understanding of complex processes by making them transparent in an easy human-readable form, it still remains to be a hard task to analyze them in an automated computer-based way. While service-oriented architectures offer a technical base for service-management, the question of mapping business requirements to a design that remains maintainable is still in discussion. In this paper a new approach to ease the analysis of complex models is presented. It heavily relies on a new convolution theory that allows to generate ratios, which can be used to determine the applicability of a service candidate for its use as a real service within a SOA.

A model-driven framework for business IT alignment

Business Information Technology (IT) alignment focuses the efficient support of business processes by IT. Therefore, existing software artefacts are addressed within business process models. When these process models and the processes, respectively, alter, however, there is need to adjust the supporting software systems. Thus, already during the design phase of business process models, IT artefacts have to be considered. In this paper, we propose an approach aiming at the restriction of freedom in process modelling. Thus, previously defined software artefacts are used already in business process modelling. Therewith, the gap between the business and the IT layer can be closed. To support such restrictions, a meta-modelling method is introduced and its usage for composing Service-Oriented Architecture (SOA) services is illustrated.

Information systems engineering in healthcare – an evaluation of the state of the art of operational process design

Seamless integration of medical evidence and organisational requirements into clinical process management is a non-trivial and reoccurring task. This leads a search for strong methodological as well as IT technical support by large industrial companies and leading research teams. Contributions of information systems research – especially conceptual modeling theory – currently play a minor role in clinical process management. The present study provides indications why current approaches are not suitable for process management in clinical practice. In this article, we identify the necessary steps in clinical process management that suffer from a lack of methodological support. The paper addresses researchers and clinicians who wish to implement a life-cycle management process for their clinical pathways.

Usage and Impact of Model-Based User Authorization

Identity management projects are often a great challenge for organizations. This is not due to the technical complexity of these projects, but due to the fact that managing access to resources and services involves a deep understanding of organizational responsibilities, workflows, and processes. The presented approach aims at enabling domain experts to deal with that complexity without the support of external expertise. To accomplish this, the approach involves the organizational dimension of role engineering. The integration of the organizational layer is achieved by seamlessly integrating model data from process optimization projects. Conceptual models carry knowledge about the structure of an organization and its processes. The role engineering process is driven by the information in these models. The presented approach is not limited to the technical level and thus allows a high degree of automation. This research deals with-in addition to a practical illustration-a theoretical answer to the question whether it is even possible to integrate semi-formal models in an automated transformation process of transformation and requirements for such a process. The aim of this paper is to give a first positive answer to this question and to provide a way to automatically generate a useful setting for configuring identity management systems based on semi-formal models.

Konzeptuelle Modellierung im klinischen Umfeld

ZusammenfassungenProzessmodelle finden im Gesundheitswesen Anwendung in der Dokumentation und Gestaltung der Ablauforganisation. Die Abstimmung der Modelle von Fachgesellschaften und Kliniken ist ein komplizierter, zeitaufwendiger Prozess, der nicht nur durch medizinisches, sondern auch durch organisatorisches und technisches Wissen bestimmt ist. Der Beitrag demonstriert die Nützlichkeit fachkonzeptueller Modelle für ein Management von Prozesslandschaften im klinischen Umfeld. Betriebswirtschaftliche Relevanz ergibt sich aus der beschleunigten Umsetzung der medizinischen Leitlinien in klinische Behandlungspfade.