Clinical trials (CTs) are essential for the advancement of medical research, paving the way for the development and adoption of new treatments, and contributing to the evolution of healthcare. An essential factor for the success of a CT is the appropriate management of its participants and their personal data. According to the current regulations, collecting and using personal data from participants must comply with rigorous standards. Therefore, healthcare institutes need to obtain freely given, specific, informed, and unambiguous consent before being able to collect the data. Some of the major limitations of the current technological solutions are the lack of control over the granularity of consent grants, as well as the difficulty of han...
Monitoring and ensuring the integrity of data within the clinical trial process is currently not alw...
Real-world applications in healthcare and supply chain domains produce, exchange, and share data in ...
Clinical trials are crucial to medication research, but data security, transparency, and integrity ...
Clinical trial consent for protocols and their revisions should be transparent for patients and trac...
Clinical trial consent for protocols and their revisions should be transparent for patients and trac...
The health industry is a data-intensive domain. Sharing medical data between medical facilities is n...
Recent advances in medical and information technologies, the availability of new types of medical da...
Abstract Reproducibility, data sharing, personal data privacy concerns and patient enrolment in clin...
Since the introduction of Bitcoin by Satoshi Nakamoto in a white paper in 2008, Blockchain has gathe...
This project presents the structure and functionality of a blockchain-based dynamic consent model th...
Clinical intelligence gathered from data analytics plays a significant role in the development of pr...
In modern healthcare systems, the ability to share electronic health records is crucial for providin...
de-Melo-Diogo, M., Tavares, J., & Nunes Luís, Â. (2021). Data Security in Clinical Trials Using Bloc...
A massive amount of sensitive personal data is being collected and used by scientists, businesses, a...
The scientific credibility of findings from clinical trials can be undermined by a range of problems...
Monitoring and ensuring the integrity of data within the clinical trial process is currently not alw...
Real-world applications in healthcare and supply chain domains produce, exchange, and share data in ...
Clinical trials are crucial to medication research, but data security, transparency, and integrity ...
Clinical trial consent for protocols and their revisions should be transparent for patients and trac...
Clinical trial consent for protocols and their revisions should be transparent for patients and trac...
The health industry is a data-intensive domain. Sharing medical data between medical facilities is n...
Recent advances in medical and information technologies, the availability of new types of medical da...
Abstract Reproducibility, data sharing, personal data privacy concerns and patient enrolment in clin...
Since the introduction of Bitcoin by Satoshi Nakamoto in a white paper in 2008, Blockchain has gathe...
This project presents the structure and functionality of a blockchain-based dynamic consent model th...
Clinical intelligence gathered from data analytics plays a significant role in the development of pr...
In modern healthcare systems, the ability to share electronic health records is crucial for providin...
de-Melo-Diogo, M., Tavares, J., & Nunes Luís, Â. (2021). Data Security in Clinical Trials Using Bloc...
A massive amount of sensitive personal data is being collected and used by scientists, businesses, a...
The scientific credibility of findings from clinical trials can be undermined by a range of problems...
Monitoring and ensuring the integrity of data within the clinical trial process is currently not alw...
Real-world applications in healthcare and supply chain domains produce, exchange, and share data in ...
Clinical trials are crucial to medication research, but data security, transparency, and integrity ...