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Biomedical subjects

Ezio Caffi

Publications and source records attributed to Ezio Caffi.

5 recordsLinked to original sources

Architectures and tools for innovative Health Information Systems: the Guide Project.

This paper describes the architecture of the Guide Project, a proposal for innovation of Health Information Systems, putting together medical and organizational issues through the Separation of Concerns paradigm. In particular, we focus on one building block of the architecture: the Guideline Management System 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's 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 of a country. Different organizations can get Clinical Practice Guidelines from the repository, adapt and introduce them in clinical practice.

Computer Systems↗

A guideline management system.

This paper describes the architecture of NewGuide, a guide-line management system for handling the whole life cycle of a computerized clinical practice guideline. NewGuide components are organized in a distributed architecture: an editor to formalize guidelines, a repository to store them, an inference engine to implement guidelines instances in a multi-user environment, and a reporting system storing the guidelines logs in order to be able to completely trace any individual physician guideline-based decision process. There is a system "central level" that maintains official versions of the guidelines, and local Healthcare Organizations may download and implement them according to their needs. The architecture has been implemented using the Java 2 Enterprise Edition (J2EE) platform. Simple Object Access Protocol (SOAP) and a set of con-tracts are the key factors for the integration of NewGuide with healthcare legacy systems. They allow maintaining unchanged legacy user interfaces and connecting the system with what-ever electronic patient record. The system functionality will be illustrated in three different contexts: homecare-based pressure ulcer prevention, acute ischemic stroke treatment and heart failure management by general practitioners.

Computer Systems↗

Modular representation of the guideline text: an approach for maintaining and updating the content of medical education.

One of the principal challenges in the medical practice is the update of their knowledge. One of the prime roles of the Continuing Medical Education is to train the medical practitioners with the latest advances in health care, specialized to their needs. Online courses and classroom teaching with computer-based representations have become an established mode of delivering medical education. This paper deals with the modularized representation of a medical text concerning clinical practice guidelines. The proposed system takes into consideration the semantics of the Unified Medical Language System and is based upon the marking up and display of the knowledge using the XML and XSLT languages. This modularization of the concepts leads to the determination of the context of a portion or the whole document. Thus, after marking up using our system, the text components can be exchanged, modified or reconstructed, which, in turn, would help to maintain the updates in medical knowledge.

Artificial Intelligence↗

Relating UMLS semantic types and task-based ontology to computer-interpretable clinical practice guidelines.

Medical knowledge in clinical practice guideline (GL) texts is the source of task-based computer-interpretable clinical guideline models (CIGMs). We have used Unified Medical Language System (UMLS) semantic types (STs) to understand the percentage of GL text which belongs to a particular ST. We also use UMLS semantic network together with the CIGM-specific ontology to derive a semantic meaning behind the GL text. In order to achieve this objective, we took nine GL texts from the National Guideline Clearinghouse (NGC) and marked up the text dealing with a particular ST. The STs we took into consideration were restricted taking into account the requirements of a task-based CIGM. We used DARPA Agent Markup Language and Ontology Inference Layer (DAML + OIL) to create the UMLS and CIGM specific semantic network. For the latter, as a bench test, we used the 1999 WHO-International Society of Hypertension Guidelines for the Management of Hypertension. We took into consideration the UMLS STs closest to the clinical tasks. The percentage of the GL text dealing with the ST "Health Care Activity" and subtypes "Laboratory Procedure", "Diagnostic Procedure" and "Therapeutic or Preventive Procedure" were measured. The parts of text belonging to other STs or comments were separated. A mapping of terms belonging to other STs was done to the STs under "HCA" for representation in DAML + OIL. As a result, we found that the three STs under "HCA" were the predominant STs present in the GL text. In cases where the terms of related STs existed, they were mapped into one of the three STs. The DAML + OIL representation was able to describe the hierarchy in task-based CIGMs. To conclude, we understood that the three STs could be used to represent the semantic network of the task-bases CIGMs. We identified some mapping operators which could be used for the mapping of other STs into these.

Humans↗

Web-based data and knowledge sharing between stroke units and general practitioners.

We describe a telemedicine application for emergency management in Stroke Units, where prompt decisions must be taken, often knowing neither the clinical history nor the stroke symptoms onset modality. We have designed and implemented an Information and Communication Technology architecture for the situation in which a general practitioner is called for a suspected stroke and provides for the admission to a Stroke Unit. By means of a palmtop and a wireless Internet connection, he can send to the Stroke Unit the demographic data, the list of the patient's problems, current and/or recent therapies, and a guideline-based stroke-specific form with the objective examination results. In this way, the Stroke Unit team is alerted and informed before the patient arrival, and can manage the urgency at the best. The proposal involved 20 general practitioners and one Stroke Unit in the Lombardia Region, Italy.

Computer Systems↗