
pmid: 20089327
Secondary use of health data has a vital role in improving and advancing medical knowledge. While digital health records offer scope for facilitating the flow of data to secondary uses, it remains essential that steps are taken to respect wishes of the patient regarding secondary usage, and to ensure the privacy of the patient during secondary use scenarios. Consent, together with depersonalisation and its related concepts of anonymisation, pseudonymisation, and data minimisation are key methods used to provide this protection. This paper gives an overview of technical, practical, legal, and ethical aspects of secondary data use and discusses their implementation in the multi-institutional @neurIST research project.
Computer Systems/ethics, Biomedical Research, Medical Records Systems, Computerized, *Biomedical Research, Confidentiality/*ethics, 614.1, *Medical Records Systems, Computerized, Access to Information, Computer Systems, Humans, Ethics, Medical, Computer Security, *Informed Consent, Informed Consent, 616.0757, Research Design, Access to Information/*ethics, Algorithms, Confidentiality, ddc: ddc:616.0757, ddc: ddc:614.1
Computer Systems/ethics, Biomedical Research, Medical Records Systems, Computerized, *Biomedical Research, Confidentiality/*ethics, 614.1, *Medical Records Systems, Computerized, Access to Information, Computer Systems, Humans, Ethics, Medical, Computer Security, *Informed Consent, Informed Consent, 616.0757, Research Design, Access to Information/*ethics, Algorithms, Confidentiality, ddc: ddc:616.0757, ddc: ddc:614.1
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
