In last few years, achievements in information and communications technologies (ICTs), such as the electronic health record (EHR), have improved the healthcare system. However to be effective, paramedics and doctors have to consult the most recent version of EHRs anytime and anywhere. A possible solution is to store EHRs on remote storage services. However, the EU General Data Protection Regulation (GDPR) does not allow to store plain files containing personal data in services accessible remotely. To solve this challenge, a possible solution is to use Edge computing devices running Secret Sharing algorithms to split and merge EHRs on demand; however, these techniques have not been evaluated before for these purposes. To address this issue, in this work we analyse the redundant residue number system (RRNS). In particular, considering different EHR sizes (from 10kB to 1 MB), we evaluated computation time (split and recomposition), transfer time (upload and download) from/to public Cloud storage providers (Google Drive, Mega and Dropbox) and storage requirement. Results showed that, in configuration with seven levels of redundancy, the RRNS uses only 50% of the storage required for the simple file replication. We also discovered that Google Drive, due to synchronization overhead, is slower than other Cloud service providers for the upload of chunks but faster for the download.

Chapter Contents:

• 17.1 Introduction
• 17.2 State of the art
• 17.3 The electronic health record
• 17.3.1 Electronic medical record
• 17.3.2 Electronic patient record
• 17.4 Motivation and use case definition
• 17.4.1 UC 1: Hospitalized patients
• 17.4.2 UC 2: smart ambulances
• 17.5 The Edge-based HIS
• 17.5.1 The redundant residue number system
• 17.5.2 Map files
• 17.6 Performance assessment
• 17.6.1 EHR split and recomposition
• 17.6.2 EHR upload and download
• 17.6.3 Storage required
• 17.7 Open issues and challenges
• 17.8 Conclusions and future works
• References

Inspec keywords: legislation; electronic health records; hospitals; data privacy; health care; residue number systems; cloud computing; security of data

Other keywords: information and communications technologies; electronic health record; personal data; EHR sizes; healthcare system; public Cloud storage providers; smart hospitals; EU General Data Protection Regulation; redundant residue number system; Cloud service providers; memory size 10.0 KByte to 1.0 MByte; Secret Sharing algorithms; remote storage services; Google Drive; Edge computing devices

Subjects: Data security; Medical administration; Digital arithmetic methods; Internet software