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Delphine Rossille

Publications and source records attributed to Delphine Rossille.

3 recordsLinked to original sources

A model for a regional health information network sharing clinical information between professionals in Britanny.

The purpose of this paper is to present a generic model of information system supporting healthcare networks for health professionals in Brittany. This model is aimed to develop cooperation between hospital professionals, primary care and practitioners whatever the specific pathology, by providing tools for exchanging and sharing medical-related data. The model is designed based on the heterogeneity factors revealed by a prospective survey. It includes secured exchange of nominative medical data, all other information and activities being accessible by a Web portal. Other associated tools are a synchronous collaborative platform, and a e-learning module. The first implementation, currently in use by the professionals, is presented for the existing neurology healthcare networks.

France↗

Modelling a decision-support system for oncology using rule-based and case-based reasoning methodologies.

In most hospital medical units, multidisciplinary committees meet weekly to discuss their patients' cases. The medical experts base their decisions on three sources of information. First, they check if their patient complies with existing guidelines. Failing these, the medical experts will base their therapeutic decisions on the cases of similar patients that they have treated in the past. We propose a multi-modal reasoning decision-support system based on both guideline and case series, which will automatically compare the patient's case to the corresponding guideline, then to other cases, and retrieve similar cases. The general structure of the system is presented here, the domain of application being oncology. As the patients' records are not currently stored in a database in a format which is directly accessible, an object-oriented model is proposed, which includes prognosis factors currently tested in clinical trials, well-established ones, and a description of the illness episodes. The system is designed to be a data warehouse. Such a system does not exist in the literature. Future work will be needed to define the similarity measures, and to connect the system to the current database.

Computer Simulation↗

Modelling of a case-based retrieval system for oncology.

When a new patient does not comply with the guidelines, experts base their therapeutic decisions on similar patients' cases they have treated in the past. The case-based reasoning decision-support system we propose will automatically compare the patient's case to the structured guideline, then to other cases, and retrieve similar cases. The general structure of the system is presented here, the domain of application being oncology. As the patients' records are not stored in the current database in a format directly exploitable, an object-oriented model is proposed, that includes prognosis factors currently tested in clinical trials, well-established ones, and a description of the illness' episodes. Such system does not exist in the literature. It can be viewed as a data warehouse. Future work consists in defining the similarity measures, and connecting the system to the current database.

Computer Simulation↗