Integrated Process and Data Management for Healthcare Applications

Abstract

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.

Scalable Scientific Workflows Management System SWFMS

“…‗i>PE' [30] and ‗DaltOn' [31] for executing both categories of workflows separately and independently. The sub-system ‗i>PE' (integrated Process Executor) is a process-centric workflow engine founded on POPM paradigm, that makes available the environment for executing ‗AWf' specified via POPM notion.…”

Semantic based Data Integration in Scientific Workflows

“…Execute Workflow: Finally, the workflow can be executed by a suitable execution environment [14] for a description of such an execution environment). Both types of steps, AWSs and DLWSs, are executed by the same environment.…”