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The Guide Project is a proposal for an innovative Health Information System putting together medical and organizational issues through the Separation of Concerns paradigm. In particular, it focuses on one building block of the architecture: the Guideline Management System that addresses the medical issues handling the whole life cycle of computerized Clinical Practice Guidelines. The communication between the Guideline Management System and the other components of the project architecture is message-based according to specific contracts that allow an easy integration of the components developed by different parties and, in particular, with legacy systems (i.e. existing electronic patient records). In turn, the Guideline Management System components are organized in a distributed architecture: an editor to formalize guidelines, a repository to store and publish them, an enactment system to implement guidelines instances in a multi-user environment and a reporting system able to completely trace any individual physician guideline-based decision process. The repository is organized in different levels that can be international, national, regional, down to the specific health care organization, according to the healthcare delivery policy. Different organizations can get Clinical Practice Guidelines from the repository, adapt and introduce them in clinical practice.
It is a graphical software tool for visualizing genetic networks composed by a high number of genes. It accepts as input a matrix summarizing gene relationships inferred by means of reverse engineering methods.
Tempo is a framework for the definition, generation and execution of data processing procedures including filtering, qualitative and temporal abstractions. The overall architecture is build upon a specific data model and organized on pipelines of modules assembled according to a data processing meta-model. Each pipeline module conforms to well defined communication rules and wraps one or more data processing algorithms. The set of algorithms provided by default as reusable blocks can be extended with custom solutions through a plug-in mechanism. The data processing procedures can be delivered both as web-services and as software library.
