Process Management has become an acknowledged technology for application integration. However, different applications leverage from different process modeling capabilities. Thus, domain specific process management becomes more and more relevant. In this paper we present our solution for an abstract process modeling method and language based on an extensible meta modeling framework which has two main advantages compared to standard MDA tools. First, we can easily implement modeling patterns (here: powertypes and type/usage concept). Second, we can use more than two meta layers which results in a more clear structure and in higher flexibility (here a separation between general process modeling principles and domain specific languages that can better express domain specific semantics).
Healthcare applications are demanding with respect to their IT needs. Due to their complexity they need strong IT support which must provide enough freedom to their users in the medical domain because of the high degree of flexibility required by them. We have chosen a process based technology, called data logistics, which can cope with these almost conflicting requirements. Data logistics is based on clinical processes. However, when data logistics processes are executed, this happens transparently to the users and provides them a huge degree of freedom in determining the sequence of process execution. In order to cope with these challenging features, the process execution environment for data logistics processes is generated according to our model driven development approach called process driven architecture (PDA). Several clinical studies illustrate the feasibility, effectiveness, and efficiency of the data logistics approach. This article both exposes the rationale of the data logistics approach and provides a deep inside into the implementation concepts.
Business process modelling becomes more productive when modellers can use process modelling languages which optimally fit to the application domain. Domain specific modelling is the discipline that deals with the proliferation of domain specific modelling languages. The general tenor is that the more a modelling language fits to an application domain, the more efficient and effective an application can be modelled. In this paper we address the issue of providing domain specific languages in a systematic and structural way without having to implement modelling tools for each domain specific language separately. Our approach is based on a two dimensional meta modelling stack.
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