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A diagnostic of information security features of EDC systems in the personal health train context

Wang, Z. (2021) A diagnostic of information security features of EDC systems in the personal health train context.

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Abstract:Case Report Forms (CRF), a questionnaire mostly used in clinical trial research, is used to collect patients’ information. Nowadays the electronic Case Report Forms(eCRF) is taking the place of the normal paper CRF due to its convenience. The eCRF is a part of a system called Electronic Data Capture (EDC) system and it collects users’ information, which is sensitive. This research aims to find the most appropriate EDC system for PHT which is a platform for organizations to use data from various sources. Therefore, we must ensure the system is equipped with good privacy/security regulations. Due to the diversity of privacy regulations around the world, this research investigates whether the systems comply with the European Union General Data Protection Regulation (GDPR). As preparations, we did a literature review about PHT, FAIR principles, potential risks, protection measures, and how hospitals apply information systems. In our evaluation, we provided an overview of five EDC systems: Castor, OpenClinica, REDCap, NowEDC, and ShareCRF. We evaluated their security/privacy features and techniques to store data. A comparison table of their features is given. After comparing, we finally choose Castor to recommend.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:02 science and culture in general
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/86928
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