Publications by authors named "Francois Wisniewski"

Background: Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable data. A master patient index (MPI) can facilitate this task. Being a repository of patient identity traits, a MPI allows an accurate surveillance of the patients' "medical identities".

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Seamless patient identification, as well as locating capabilities of remote services, are considered to be key enablers for large scale deployment of facilities to support the delivery of cross-border healthcare. This work highlights challenges investigated within the context of the Electronic Simple European Networked Services (e-SENS) large scale pilot (LSP) project, aiming to assist the deployment of cross-border, digital, public services through generic, re-usable technical components or Building Blocks (BBs). Through the case for the cross-border ePrescription/Patient Summary (eP/PS) service the paper demonstrates how experience coming from other domains, in regard to electronic identification (eID) and capability lookup, can be utilized in trying to raise technology readiness levels in disease diagnosis and treatment.

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The recent development of eHealth platforms across the world, whose main objective is to centralize patient's healthcare information to ensure the best continuity of care, requires the development of advanced tools and techniques for supporting health professionals in retrieving relevant information in this vast quantity of data. However, for preserving patient's privacy, some countries decided to de-identify and encrypt data contained in the shared Electronic Health Records, which reinforces the complexity of proposing efficient medical information retrieval approach. In this paper, we describe an original approach exploiting standards metadata as well as knowledge organizing systems to overcome the barriers of data encryption for improving the results of medical information retrieval in centralized and encrypted Electronic Health Records.

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