Sint-Martens-Latem, Belgium
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Claerhout B.,Custodix | De Schepper K.,Custodix | Perez Del Rey D.,Grupo de Informatica Biomedica | Bucur A.,HIGH-TECH
HEALTHINF 2013 - Proceedings of the International Conference on Health Informatics | Year: 2013

Authorisation solutions that exist today offer a broad range of functionality for defining complex access control policies. A common requirement that is not covered by these solutions is dynamically instantiated contexts in collaborative environments. This requirement is one of the research topics of the EU funded INTEGRATE project. This paper will focus on the solution proposed for the INTEGRATE project which is XACML based. The approach taken to make XACML context aware, is to enrich the XACML specification using a contextual extension through a generic mechanism, without changing the XACML language itself. This contextual extension operates on the XACML requests with ultimate goal to simplify the management of context aware policies.


Mares J.,University College London | Shamardin L.,University College London | Weiler G.,Fraunhofer Institute for Biomedical Engineering | Anguita A.,Technical University of Madrid | And 5 more authors.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium | Year: 2014

Secure access to patient data is becoming of increasing importance, as medical informatics grows in significance, to both assist with population health studies, and patient specific medicine in support of treatment. However, assembling the many different types of data emanating from the clinic is in itself a difficulty, and doing so across national borders compounds the problem. In this paper we present our solution: an easy to use distributed informatics platform embedding a state of the art data warehouse incorporating a secure pseudonymisation system protecting access to personal healthcare data. Using this system, a whole range of patient derived data, from genomics to imaging to clinical records, can be assembled and linked, and then connected with analytics tools that help us to understand the data. Research performed in this environment will have immediate clinical impact for personalised patient healthcare.


Jefferys B.R.,University College London | Nwankwo I.,Leibniz University of Hanover | Neri E.,Custodix | Chang D.C.W.,University College London | And 5 more authors.
Interface Focus | Year: 2013

Personalized medicine relies in part upon comprehensive data on patient treatment and outcomes, both for analysis leading to improved models that provide the basis for enhanced treatment, and for direct use in clinical decision-making. A data warehouse is an information technology for combining and standardizing multiple databases. Data warehousing of clinical data is constrained by many legal and ethical considerations, owing to the sensitive nature of the data being stored.We describe an unconstrained clinical data warehousing architecture, some of the legal constraints that have led us to reconsider this architecture, and the legal and technical solutions to these constraints developed for the clinical data warehouse in the personalized medicine project p-medicine.We also propose some changes to the legal constraints that will further enable clinical research. © 2013 The Author(s) Published by the Royal Society. All rights reserved.


Schera F.,Fraunhofer Institute for Biomedical Engineering | Weiler G.,Fraunhofer Institute for Biomedical Engineering | Neri E.,CUSTODIX | Kiefer S.,Fraunhofer Institute for Biomedical Engineering | Graf N.,Universitatsklinikum des Saarlandes
ecancermedicalscience | Year: 2014

The European project p-medicine creates an information technology infrastructure that facilitates the development from current medical practice to personalised medicine. The main access point to this infrastructure is the p-medicine portal that provides clinicians, patients, and researchers a platform to collaborate, share data and expertise, and use tools and services to improve personalised treatments of patients. In this document, we describe the community-based structure of the p-medicine portal and provide information about the p-medicine security framework implemented in the portal. Finally, we show the user interface and describe the p-medicine tools and services integrated in the portal. Copyright: © the authors.


PubMed | Universitatsklinikum des Saarlandes, Fraunhofer Institute for Biomedical Engineering and CUSTODIX
Type: | Journal: Ecancermedicalscience | Year: 2014

The European project p-medicine creates an information technology infrastructure that facilitates the development from current medical practice to personalised medicine. The main access point to this infrastructure is the p-medicine portal that provides clinicians, patients, and researchers a platform to collaborate, share data and expertise, and use tools and services to improve personalised treatments of patients. In this document, we describe the community-based structure of the p-medicine portal and provide information about the p-medicine security framework implemented in the portal. Finally, we show the user interface and describe the p-medicine tools and services integrated in the portal.


Claerhout B.,Custodix | De Schepper K.,Custodix | Perez-Rey D.,Technical University of Madrid | Alonso-Calvo R.,Technical University of Madrid | And 2 more authors.
13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 | Year: 2013

A substantial amount of clinical trials are subject to failure because they cannot recruit sufficient patients within the foreseen time and budget. Computer assisted evaluation of eligibility criteria is envisaged to improve the recruitment process by increasing coverage (i.e. making sure no eligible patients are 'missed') and speeding up the eligibility scanning process; and thus eventually reduce the overall failure rate of clinical trials. In this paper a new recruitment application is presented which assists in evaluating eligibility criteria based on available clinical patient data (e.g. Electronic Health Record data). The application leverages for the querying of clinical data on a generic semantic integration platform and a new Domain Specific Language (DSL) based on the Groovy programming language. © 2013 IEEE.


Claerhout B.,Custodix | De Schepper K.,Custodix | Perez-Rey D.,Technical University of Madrid | Bucur A.,HIGH-TECH
Communications in Computer and Information Science | Year: 2014

When building cross-organisation data sharing environments in the clinical domain, one is confronted with high security demands. Although at the present time, a broad range of security technology is available, typically not all desired functionality can be easily met. One of these requirements is managing access over dynamically instantiated contexts in collaborative environments. This requirement was encountered during the EU funded projects INTEGRATE and EURECA. This paper presents a solution which enriches XACML with context awareness without changing the policy language itself. Furthermore, it is shown that the presented mechanism (XACML request modification) can also be used for uniformly addressing other security challenges. © Springer-Verlag Berlin Heidelberg 2014.


Vdovjak R.,HIGH-TECH | Claerhout B.,Custodix | Bucur A.,HIGH-TECH
HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics | Year: 2012

Efficient collaboration and data sharing are essential prerequisites for improving efficiency, safety and outcomes in medicine. Current separation of clinical research and care creates a significant knowledge gap, especially in the case of complex diseases such as cancer, hampering research and slowing down the transfer of the latest research results to patient care. The momentum gained by initiatives focusing on these aspects indicates that under the right circumstances, the biomedical community is ready and willing to open up. However, main technological barriers concerning semantic interoperability, security and privacy need to be addressed to make this change possible. In this paper we describe our scalable, standards-based and open approach towards addressing these issues in the context of a large initiative with focus in oncology.


Ciuciu I.,Vrije Universiteit Brussel | Claerhout B.,Custodix | Schilders L.,Custodix | Meersman R.,Vrije Universiteit Brussel
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

This paper discusses an interoperability solution (tool) for the internal management of a policy decision engine located at the level of the authorization layer of a service oriented environment. The tool aims to support federated access control in the context of distributed architectures, in which a local authorization policy is not able to recognize all the attributes in the authorization decision requests. The approach is based on an ontology-based interoperation service (OBIS) whose role is to translate security attributes (name-value pairs) from local security vocabularies into the attributes recognized by the central (Master Policy Decision Point) vocabulary based on a security ontology and its domain-specific extensions which provides semantic reasoning services. The approach is validated in an e-Health scenario for the access of patient data for diabetes patient monitoring and disease management. © 2011 Springer-Verlag.

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