MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain

By K. Fan, Shangyang Wang, Yanhui Ren, Hui Li, Yintang Yang. Journal of medical systems, 2018

528 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/17e417c5e20d662d9d92f0c7f7795ccad9c16357

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Seyednima Khezr
2. Abdulsalam Yassine
3. Md. Moniruzzaman
4. Rachid Benlamri

In Information Systems

1. Seyednima Khezr
2. Abdulsalam Yassine
3. Md. Moniruzzaman
4. Rachid Benlamri

Citations in the corpus

• Blockchain in healthcare and health sciences - A scoping review (2019, background): “Interoperability 18 [36] Electronic health records Sharing healthcare data for clinical and research purposes.”
• Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research (2019, methodology): “In a similar study, Fan et al. [71] developed a MedBlock framework based on blockchain technology to solve data management and data sharing problem in an electronic medical records (EMRs) system and improve medical information sharing.”