117 research outputs found
Privacy provision in eHealth using external services
Privacy provision is a key issue for successful secure access to patients’
health information. Current approaches do not always provide patients with the ability to define suitable rules to access to their information in a secure way. This paper presents an approach to give patients control over their information by means of external services. In this way, health information management and access control are kept independent and more secure.Postprint (published version
Tests d’autoavaluació de l’assignatura Xarxes de Computadors
Mòdul desenvolupat sobre Moodle que permet definir tests per a que els alumnes s’autoavaluïn
Objectius:
Proporcionar als alumnes més problemes resolts.
Noves activitats docents per reduir les sessions presencials.
Fomentar l’aprenentatge autònom.
Millorar la percepció dels alumnes envers la docència rebuda.
Com assolir-los?
Incloent tot tipus de problemes (resposta curta, resolució numèrica, etc.)
Preguntes reals d’exà mens i controls fets a altres cursos.
Afegint una justificació per a què l’alumne sà piga perquè ha fallat.Peer Reviewe
FAIR aspects of a health information protection and management system
Background: Privacy management is a key issue when dealing with storage and distribution of health information. However, FAIR (Findability, Accessibility, Interoperability, and Reusability) principles when sharing information are in increasing demand in several organizations, especially for information generated in public-funded research projects.
Objectives: The two main objectives of the presented work are the definition of a secure and interoperable modular architecture to manage different kinds of medical content (xIPAMS [x, for Any kind of content, Information Protection And Management System] and HIPAMS [Health Information Protection And Management System]), and the application of FAIR principles to that architecture in such a way that privacy and security are compatible with FAIR.
Methods: We propose the concept of xIPAMS as a modular architecture, following standards for interoperability, which defines mechanisms for privacy, protection, storage, search, and access to health-related information.
Results: xIPAMS provides FAIR principles and preserves patient's privacy. For each module, we identify how FAIR principles apply.
Conclusions: We have analyzed how xIPAMS, and in particular HIPAMS (Health content), support the FAIR principles focusing on security and privacy. We have identified the FAIR principles supported by the different xIPAMS modules, concluding that the four principles are supported. Our analysis has also considered a possible implementation based on the concept of DACS (Document Access and Communication System), a system storing medical documents in a private and secure way. In addition, we have analyzed security aspects of the FAIRification process and how they are provided by xIPAMS modules.The work presented in this article has been partially supported by the Spanish Government under the project: GenClinLab-Sec (Mechanisms for secure and efficient management of genomic information tailored to clinical laboratories: Security Aspects, PID2020-114394RB-C31) funded by MCIN/AEI/10.13039/501100011033 and by the Generalitat de Catalunya (2017 SGR 1749).Peer ReviewedPostprint (published version
FAIR aspects of a genomic information protection and management system
To handle genomic information while supporting FAIR principles, we present GIPAMS, a modular architecture. GIPAMS provides security and privacy to manage genomic information by means of several independent services and modules that interact among them in an orchestrated way. The paper analyzes how some security and privacy aspects of the FAIRification process are covered by the GIPAMS platform.This work is partly supported by the Spanish Government (GenClinLab-Sec, PID2020-114394RB-C31) and by the Generalitat de Catalunya (2017 SGR 1749).Peer ReviewedPostprint (published version
An architecture for providing personalized digital health
Patients need mechanisms to integrate health information coming from different sources, including personal devices. This would lead to Personalized Digital Health (PDH). HIPAMS (Health Information Protection And Management System) is a modular and interoperable secure architecture that helps in achieving this objective and building a Framework for PDH. The paper presents HIPAMS and how it supports PDH.The work presented in this paper has been partially supported by the Spanish Government under the project GenClinLab-Sec (Mechanisms for secure and efficient management of genomic information tailored to clinical laboratories: Security Aspects, PID2020-114394RB-C31) funded by MCIN/AEI/10.13039/501100011033 and by the Generalitat de Catalunya (2017 SGR 1749).Peer ReviewedObjectius de Desenvolupament Sostenible::3 - Salut i BenestarPostprint (published version
Provenance and dynamic consents for the management of medical data
Medical data describe patient health information, both in healthy and disease conditions. In any case, health institutions need to ask for patient consent in order to provide their services. Patients usually give consent on a one-time basis, for a specific usage. Afterwards, if medical data usage is research, original patient consent does not apply and further consents should be required. On the other hand, provenance of medical data to verify the origin of health procedures is desirable, as digital health is increasing. We propose HIPAMS modular architecture to provide both provenance and dynamic consents for medical data as described in this paper.This work is partly supported by the Spanish Government (GenClinLab-Sec, PID2020-114394RB-C31) and by the Generalitat de Catalunya (2017 SGR 1749)Peer ReviewedPostprint (published version
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