e.g. mhealth
Search Results (1 to 6 of 6 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 3 JMIR Medical Informatics
- 3 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Go back to the top of the page Skip and go to footer section

Their work is based on University Medicine Greifswald’s well-established software components for record linkage (E-PIX [Enterprise Identifier Cross-Referencing]), pseudonymization (g PAS [Generic Pseudonym Administration Service]), and consent management (g ICS [Generic Informed Consent Service]) [2].
JMIR Med Inform 2024;12:e65784
Download Citation: END BibTex RIS

Although there is no consensus on which protection methods are best suited for use in biomedical research [14], pseudonymization (also called coding or pseudo-anonymization) [15] is a common strategy, which can also be used to deidentify data under the HIPAA Privacy Rule. Pseudonymization is an essential aspect of the GDPR, as it is mentioned in multiple articles, in particular as a data minimization measure [16].
JMIR Med Inform 2024;12:e49646
Download Citation: END BibTex RIS

Researchers prefer to rely upon simple pseudonymization techniques (such as replacing direct identifiers with pseudonymous codes) combined with legal measures defining each party’s responsibilities regarding data transfer, access, and use. This process generates administrative overheads that slow down the pace of biomedical research. Furthermore, although designed to comply with data protection regulations, contractual safeguards may not eliminate the risk of individuals being reidentified [17].
J Med Internet Res 2021;23(2):e25120
Download Citation: END BibTex RIS

To refer to the concept of rendering data less identifiable, or to the techniques that are used in this aim, the GDPR defines the term pseudonymization: “the processing of personal data in such a manner that the personal data can no longer be attributed to a specific data subject without the use of additional information, provided that such additional information is kept separately and is subject to technical and organisational measures to ensure that the personal data are not attributed to an identified or
J Med Internet Res 2019;21(5):e13484
Download Citation: END BibTex RIS

Pseudonymization removes all data directly identifying a person (such as name, address, and place and date of birth) and replaces this information with a generated data key, which, considered solely, will not unveil any hint leading to the real person, but is associated consistently with all data describing the same person. Consistent association of the same pseudonym with a person’s data is the main task to be solved by pseudonymization approaches.
J Med Internet Res 2019;21(4):e12300
Download Citation: END BibTex RIS