Multi-Agent Automation for Oncology Workflows
AI Engineer · youtube · 2026-07-20
Risa Labs shared their multi-agent system deployed in oncology treatment workflows: the entire process is end-to-end automated, with 4 agents collaborating via a DAG without human intervention.
The four core agents are responsible for:
- Ingestion Agent: Processes unstructured medical documents like faxes, scanned PDFs, and clinical notes, extracting and deduplicating patient info, medications, and diagnoses.
- EV Agent: Verifies insurance validity, coverage, and patient co-pay amounts, capable of both calling APIs and navigating web portals.
- Medical Reasoning Agent: Breaks down clinical guidelines into decidable yes/no conditions, makes judgments based on medical records and insurance rules, and uses confidence scores to decide whether to escalate to human review.
- Submission Browser Agent: Runs 100+ browsers in parallel on Kubernetes to batch-fill insurance submission forms; instantly calls the Medical Reasoning Agent to generate answers when encountering clinical questions.
They stated the system has been deployed to 20+ hospitals, supports 100,000+ patients, and processes thousands of submissions per hour.
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