Blockchain-Enabled Medical Imaging Access Metrics for ARDS-COVID19 Validation

A 9.5 KB XLS file contains results from a validation scenario for a blockchain-based medical imaging architecture. The data likely includes performance metrics such as a 67% reduction in image access time and 100% success in blocking unauthorized access, as reported in the associated paper by Marco Esperança. The dataset was last updated on March 18, 2026.

Use Cases

• Benchmarking system latency for medical image retrieval based on the reported access time reduction metric.
• Evaluating consent and access control mechanisms based on the described architecture using verifiable credentials and DIDs.
• Training or validating models for FAIR-compliant data reuse based on the mention of annotated imaging datasets.

Strengths

• Validated in a synthetic ICU emergency scenario replicating ARDS-COVID19 cases.
• Results show a 67% reduction in image access time and 100% success in blocking unauthorized access.
• Architecture is described as aligning with GDPR and European digital identity frameworks.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope.
• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Data is synthetic, which may not fully reflect performance in real-world clinical deployments.

Provenance

Source

Marco Esperança via figshare.

Collection Method

Generated from a validation scenario for a proposed blockchain-enabled architecture.

Freshness

Last updated 2026-03-18 17:34:42; freshness should be verified.