Model-Supported Business Alignment of IT — Conceptual Foundations

Business Information Technology (IT) alignment focuses on the efficient support of business processes by IT. Therefore,existing software artifacts are addressed by business process models. When the processes change, however, there is a need toadjust the supporting software systems. Thus, already during the design phase of business process models, IT artifacts shouldto be considered. The instrument of conceptual modeling gains wide acceptance, especially in the health care sector todescribe and manage clinical processes, such as Clinical Practice Guidelines (CPG) and Clinical Pathways (CP). There are noholistic approaches so far that provide the alignment between these two concepts and ensure the quality of treatment and theconsistent adaptation of a Hospital Information System (HIS), in particular the hospital’s Workflow Management System(WfMS). To link business process models and the WfMS, the Description Kit Approach (DKA) is used to prepare conceptualmodels to make them automatically analyzable. It is suggested that at an early stage of the modeling process the use ofguidelines has an substantial benefit for avoiding integration conflicts in conceptual models. Furthermore, due to the way theapproach bridges the semantic gap, changes of business requirements as well as technical implementation restrictionsinfluence each other. This results in an ongoing system development process that can be interpreted as a permanentmanagement of application systems. Our results contribute to model-based management theories that have so far neglectedthe distributed construction of conceptual models

A Framework for the Intelligent Delivery and User-Adequate Visualization of Process Information

A continuously increasing amount of data makes it difficult for knowledge-workers to identify the information they need to perform their tasks in the best possible way. Particularly challenging in this context is the alignment of process-related information (e.g., working instructions, best practices) with business processes. In fact, process-related information (process information for short) and business processes are usually handled separately. On one hand, shared drives, databases, and information systems are used to manage process information, on the other, process management technology provides the basis for managing business processes. In practice, enterprises often establish (Intranet) portals to connect both perspectives. However, such portals are not sufficient. Reasons are that process information is usually delivered without considering the current work context and business processes are presented to process participants in a rather static manner. Therefore, enterprises crave for new ways of making process information available. This paper picks up this challenge and presents the niPRO framework. niPRO is based on semantic technology and enables the intelligent delivery and user-adequate visualization of comprehensive process information

Towards a pivotal-based approach for business process alignment.

This article focuses on business process engineering, especially on alignment between business analysis and implementation. Through a business process management approach, different transformations interfere with process models in order to make them executable. To keep the consistency of process model from business model to IT model, we propose a pivotal metamodel-centric methodology. It aims at keeping or giving all requisite structural and semantic data needed to perform such transformations without loss of information. Through this we can ensure the alignment between business and IT. This article describes the concept of pivotal metamodel and proposes a methodology using such an approach. In addition, we present an example and the resulting benefits

Towards a semantic quality based approach for business process models improvement

Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with domain knowledge. The alignment is conducted thanks to meta-models. We also define validation rules for checking the completeness of BP models. A medical case study illustrates the main steps of our approach.<br /