Healthcare Operations Workflow Automation

Clinical Trial Data Extraction

Clinical trial data extraction remains a manual bottleneck in healthcare operations. Senrok's deterministic AI routing ensures 100% auditability and zero hallucination risk.

Manual Extraction from Unstructured Sources

Legacy systems dump clinical data across PDFs, EHRs, and scanned forms. Teams manually transcribe fields like adverse events or lab values. Error rates exceed 10% in high-volume trials.

Regulatory audits expose inconsistencies. Missing data points cascade into rework. Timelines slip by weeks. Human review cannot scale.

Deterministic AI Pipeline with Hard Constraints

Senrok engineers deploy a multi-stage pipeline: OCR normalization, field-level regex anchors, then a small verified language model constrained to structured outputs. No black-box generation.

Every extracted field is traced to its source coordinate in the original document. Downstream validation rules reject probabilistic outputs. Audit logs capture every decision.

Common Implementation Pitfalls

  • Naive SaaS AI wrappers that apply generic LLMs to clinical documents, producing hallucinated lab values that must be double-checked manually.
  • Black-box models without provenance tracking, making audit trails impossible to reconstruct for FDA or EMA inspectors.
  • Ignoring edge cases like handwritten amendments or partially redacted PDFs, leading to silent data loss.
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Extraction Accuracy
99.8%
Audit Trail Coverage
100%
Manual Rework Reduction
90%

Frequently Asked Questions

How does Senrok handle protected health information (PHI) during extraction?

All PHI is processed in isolated environments with deterministic redaction rules. No training data leaves the secure enclave. We operate under a signed BAA and comply with HIPAA.

Can the system integrate with existing EDC platforms like Medidata or Veeva?

Yes. We build custom adapters that map extracted fields into your target schema. Integration is done via REST APIs or direct database writes, with full rollback capabilities.

What happens if the OCR fails on a specific field?

The pipeline flags the field as 'low confidence' and queues it for human review. The rest of the document continues processing. No silent failures.

Engineering services

Ready to turn this into a production agent system?

Clinical Trial Data Extraction is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.

The Senrok Approach to AI Agents

We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.

Human-in-the-Loop Orchestration

We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.

Deterministic Validation

Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.

100% Audit Trails

Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.

Performance Engineering

Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.