Data Flows and API Layers in New Decentralized Clinical Trial Platforms

Jeeva Clinical Trials launched its Academic Medical Center Partnership Program on April 20, 2026, featuring a unified AI ready clinical platform that fuses sensor data from wearables with electronic patient reported outcomes into central trial dashboards for real time compliance auditing. Castor provides a decentralized clinical trial platform integrating electronic data capture, electronic patient reported outcomes, electronic clinical outcome assessments, and electronic consent without middleware to enable virtual site coordination and remote monitoring.

Jeeva Unified AI Ready Clinical Platform Data Flows

Jeeva platform collects data from remote patient monitoring devices including wearables and combines it with electronic patient reported outcomes through direct sensor fusion processes. Data streams flow from patient devices to a central processing layer where artificial intelligence algorithms aggregate and validate inputs for compliance in real time. API layers expose endpoints for electronic consent, electronic patient reported outcomes, and monitoring data to connect with external electronic data capture systems via standardized interoperability protocols like Fast Healthcare Interoperability Resources and Health Level Seven standards. Virtual site coordination occurs as sponsors, contract research organizations, and sites access unified dashboards showing fused data with auditing logs that flag deviations instantly.

Castor Decentralized Clinical Trial Platform Architecture

Castor platform ingests wearable sensor data and electronic patient reported outcomes natively into its electronic data capture core, bypassing middleware for direct fusion into trial dashboards. Real time compliance auditing runs on the central system as data enters, verifying protocol adherence across remote participants. API layers support open specifications for electronic data capture interoperability, allowing seamless data exchange with third party systems through application programming interface calls that handle structured formats like Clinical Data Interchange Standards Consortium models. Remote monitoring feeds virtual coordination by streaming fused datasets to shared views for sites and sponsors.

Sensor fusion in both platforms starts at edge devices where wearables capture physiological metrics like heart rate and activity, which APIs transmit to platform servers. Electronic patient reported outcomes data joins via patient portals, undergoing fusion in backend services that normalize timestamps and metrics before dashboard rendering. Compliance auditing engines process streams continuously, applying rules to detect anomalies and generate alerts without delaying data flows.

Interoperability Specifications for Electronic Data Capture Systems

Jeeva exposes RESTful APIs compliant with open health care standards to pull and push data to electronic data capture platforms, ensuring bidirectional sync of fused wearable and electronic patient reported outcomes datasets. Castor APIs follow similar specs with native electronic data capture integration, supporting direct imports and exports in extensible markup language or JavaScript object notation formats tailored for clinical interchange. These layers enable platforms to coordinate virtual sites by federating data across electronic data capture ecosystems while maintaining audit trails.