ICU ARDS-COVID19 Cohort Overview for Blockchain Imaging Validation

A 67% reduction in image access time was demonstrated using a blockchain-enabled architecture for patient-controlled radiological data. The dataset likely contains synthetic ARDS-COVID19 case data used to validate the system's latency, consent enforceability, and user experience. Marco Esperança published this 5.5 KB XLS file on figshare in March 2026 under a CC-BY-4.0 license.

Use Cases

• Validate blockchain-based data access systems based on the described architecture and performance metrics.
• Analyze synthetic patient cohort characteristics for ARDS-COVID19 cases mentioned in the validation scenario.
• Study audit and consent mechanisms for medical imaging data based on the described ledger and digital wallet ecosystem.

Strengths

• Validation results include a specific 67% reduction in image access time and 100% success in blocking unauthorized access.
• The architecture is described as supporting FAIR-compliant reuse of annotated imaging datasets.
• Data is published under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• Data is synthetic, which may limit direct clinical applicability.

Provenance

Source

Marco Esperança via figshare.

Collection Method

Likely generated as part of a validation scenario replicating an ICU emergency using synthetic ARDS-COVID19 cases.

Freshness

Last updated 2026-03-18 17:34:43; freshness should be verified.