Research on Improving Dynamic Business Procesess in HIS

Dynamic patient treatment processes are usually human-centric and often unique. So if you want to model the different processes of the patient treatment, system must be capable to dynamically change process components, for example activities and business rules at runtime. The problem of process dynamics has been actively investigated over the last few years but there are still problems to be solved. This paper presents related literature analysis of the dynamic business processes. The analysis shows that there is no unified view of dynamic business processes - the formulated problems and proposed approaches to implement dynamic processes are very different. The analysed approaches cannot fully implement dynamic processes because they do not fully confirm needed dynamic process requirements. In the paper new dynamic process model is presented and realised. Dynamic patient treatment process model was developed and realised

RULE BASED ADAPTATION: LITERATURE REVIEW

Rule based adaptive systems are growing in popularity and rules have been considered as an effective and elastic way to adapt systems. A rule based approach allows transparent monitoring of performed adaptation actions and gives an important advantage of easily modifiable adaptation process. The goal of this paper is to summarize literature review on rule based adaptation systems. The emphasis is put on rule types, semantics used for defining rules and measurement of effectiveness and correctness of rule based adaptation systems. The literature review has been done following a systematic approach consisting of three steps: planning, reviewing and analysis. Targeted research questions have been used to guide the review process. The review results are to be used for conducting further research in the area of rule based context-aware adaptive systems. This paper accents the potential of using rules as means to perform adaptive actions in enterprise applications taking into account contextual factors as well as points challenges, difficulties and open issues for planning, developing, implementing and running of such systems