Automating Oncology Intake with AI-Powered Clinical Summaries – PoC

Executive Summary

Preparing for oncology consultations involved manually reviewing up to 80 documents per patient, scanned notes, lab results, discharge summaries, and more. For a leading healthcare provider, this was slowing down care, increasing cognitive load, and introducing inconsistencies across specialties.

Factspan developed an AI-powered summarization engine that combined OCR, NLP, and GenAI to extract and structure key clinical information. Integrated into the existing EHR environment and validated through pilot deployments, the system demonstrated the potential to reduce manual effort, speed up intake prep, and streamline clinician workflows.

Business Impact

• Reduced manual review effort by an estimated 68%
• Improved documentation consistency across 18 oncology specialties
• Accelerated intake prep time, supporting faster clinical decisions
• Helped reduce cognitive load for clinical staff by presenting key information upfront