The role of the GRID in a future global health information space.
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Database Management Systems↗
Biomedical subjects
G J E De Moor
Publications and source records attributed to G J E De Moor.
Privacy protection for HealthGrid applications.
OBJECTIVES: This contribution aims at introducing the problem of privacy protection in e-Health and at describing a number of existing privacy enhancing techniques (PETs). The recognition that privacy constitutes a fundamental right is gradually entering public awareness. Because healthcare-related data are susceptible to being abused for many obvious reasons, public apprehension about privacy has focused on medical data. Public authorities have become convinced of the need to enforce privacy protection and make considerable efforts for promoting through privacy protection legislation the deployment of PETs. METHODS: Based on the study of the specific features of Grid technology, ways in which PET services could be integrated in the HealthGrid are being analyzed. Grid technology aims at removing barriers between local and remote resources. The privacy and legal issues raised by the HealthGrid are caused by the transparent interchange and processing of sensitive medical information. PET technology has already proven its usefulness for privacy protection in health-related marketing and research data collection. RESULTS: While this paper does not describe market-ready solutions for privacy protection in the HealthGrid, it puts forward several cases in which the Grid may benefit from PETs. CONCLUSION: Early integration of privacy protection services into the HealthGrid can lead to a synergy that is beneficial for the development of the HealthGrid itself.
Access to Information↗
e-Health standardization in Europe: lessons learned.
Challenges regarding standardization in e-Health are analyzed, and solutions for ensuring their practical implementation are proposed. Emphasis is put on new mechanisms for enhancing the collaboration between the industry and standardization bodies.
Computer Communication Networks↗
Privacy enhancing techniques - the key to secure communication and management of clinical and genomic data.
OBJECTIVES: To introduce some of the privacy protection problems related to genomics based medicine and to highlight the relevance of Trusted Third Parties (TTPs) and of Privacy Enhancing Techniques (PETs) in the restricted context of clinical research and statistics. METHODS: Practical approaches based on two different pseudonymisation models, both for batch and interactive data collection and exchange, are described and analysed. RESULTS AND CONCLUSIONS: The growing need of managing both clinical and genetic data raises important legal and ethical challenges. Protecting human rights in the realm of privacy, while optimising research potential and other statistical activities is a challenge that can easily be overcome with the assistance of a trust service provider offering advanced privacy enabling/enhancing solutions. As such, the use of pseudonymisation and other innovative Privacy Enhancing Techniques can unlock valuable data sources.
Computational Biology↗
The Dynamic Patient Simulator: learning process, first results and students' satisfaction.
The Dynamic Patient Simulator (DPS) is an interactive case-program. After solving the case, third year medical students filled in an anonymous questionnaire. In this study we tried to have insight in the students' learning process and satisfaction. First results are presented. It seems that the implementation of the case was experienced as positive. The time aspect should be scheduled better and students should have as much time as they want to solve the case.
Adult↗
Test-based E-Learning: a new path in training medical students.
TENDO is a project conducted by the Department of Medical Informatics and Statistics of the Ghent University in the field of E-Learning and more specifically E-Testing (Electronic, on line testing). At this stage, the main goal of Tendo is to measure the knowledge of (medical) students making use of the Internet. The on line Tendo E-Testing tool has been used to examine students of the 4th year studying Physical Therapy and Rehabilitation. The aim of this document is to give an overview of the features of E-Testing and more specifically of the Tendo product.
Education, Medical, Undergraduate↗
The PRIDEH project: taking up privacy protection services in e-health.
PRIDEH (Privacy Enhancement in Data Management in e-Health) is a project that runs for two years and is partly funded by the European Commission. The focus of PRIDEH is on the stimulation of the take-up of privacy enhancing technologies within the health domain. Privacy enhancing technologies build upon available cryptographic and communication technologies. The concept of privacy enhancing services delivery through the use of intermediary trusted third parties has already been described in literature but rarely turned into practice. A number of limited PET (Privacy Enhancing Technologies) applications exist in closed domains. The very few existing solutions are not based on an independent TTP (Trusted Third Party) concept which renders their trustworthiness questionable. PRIDEH wants to enhance the take-up of PET delivery based on sound TTP principles in the domain of healthcare.
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