Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
Peleg [ 10] defines this as a third level of decision support integration, and Emanuele and Koetter [ 8] use the term "workflow-engine enabled" EHR system when the EHR can communicate with a workflow engine by sending pertinent healthcare event data to the engine and conversely receive tasks generated by the engine.
We compare a variety of current approaches, suggest characteristics that an approach should have, and propose that the Distributed Component Object Model is an approach that is very suitable for forest ecosystem decision support system integration.
The effects of e-prescribing on the quality of prescribing depend on a range of factors that include the healthcare setting, user training and behaviour, availability of appropriate hardware and technical support, the computer system used including the availability and quality of decision support, and integration of the system into work practices[ 8, 9].
For example, this design decision supported the integration of the private/public view, where only the data access layer is concerned with security and the access of private data, whereas only the presentation layer is concerned with the different public and private views.
This approach has been implemented as a decision support system through integration of data management, mathematical modeling, uncertainty and sensitivity analysis, scenario analysis, and result representation and visualization.
In the context of an inpatient care provider order entry (CPOE) system, to evaluate the impact of a decision support tool on integration of cardiology "best of care" order sets into clinicians' admission workflow, and on quality measures for the management of acute myocardial infarction (AMI) patients.
Because of demand from knowledge engineers and programmers to improve functionality related to complex use cases, the Arden Syntax evolved to include features typical of general programming languages but that were specialized to meet the needs of the clinical decision support environment, including integration into a clinical information system architecture.
The central component of the GMM was the creation of MeTree©, a computerized FHH collection and decision support tool for integration into primary care clinics, a practice environment uniquely suited for widespread population impact [ 8].
These integrations are also needed to provide clinical decision support based on the integration of clinical and genetic data.
Internet technologies require new type of decision support that provides tighter integration and higher degree of direct interaction with the problem domain.
