From the firm's own write-upReceipt no. 6096
What sucked
Oncologists faced complex guideline PDFs containing branching logic, clinical qualifiers, and exception paths, while biomarker values arrived in inconsistent formats.
No system existed to traverse multiple treatment lines while explaining the underlying clinical reasoning.
What they built
Ideas2IT built a two-pipeline agentic AI system: one batch pipeline converts oncology guideline PDFs into structured decision-tree logic, and a second produces explainable treatment recommendations from biomarker inputs. Reflective validation uses paired agents that generate and then validate regimen shortlists.
What changed
8-Step Inference
An eight-step inference sequence mirrors the clinical reasoning workflow across multiple treatment lines.
Explainable Recommendations
Every recommendation returns selection-and-rejection reasoning, with constraint enforcement at each treatment level.
HIPAA Compliant
The system maintains HIPAA compliance throughout structuring and real-time inference.
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