E-Path and E-Path Plus by Inspirata are AI/NLP/LLM-driven oncology informatics solutions designed to automate and accelerate cancer casefinding, data abstraction, and reporting for hospital cancer registries. The software is built on a clinically optimized AI/NLP engine with over 20 years of NCI heritage, boasting a validated accuracy of 99% sensitivity and 98% specificity in identifying reportable cancer cases.
Key Benefits and Capabilities:
- Automated Casefinding: E-Path's advanced NLP engine sifts through structured and unstructured clinical documents (pathology, radiology, clinical notes, etc.) in real-time to identify reportable cancer cases with high accuracy, minimizing time spent reviewing non-reportable cases.
- Intelligent Data Abstraction (E-Path Plus): The Plus version goes further by instantly generating the initial abstraction, auto-extracting up to 300+ oncology-specific data elements and auto-populating fields following SEER and other standard setter guidelines. This dramatically reduces manual data entry and eliminates backlogs.
- Compliance and Reporting: The system ensures compliance with standards like NAACCR and SEER, supporting timely submissions, tumor boards, and audits. It exports reportable case files in NAACCR-compliant formats to the cancer registry data management system.
- Data Security and Deployment: E-Path and E-Path Plus offer secure, on-premises integration with existing clinical systems, ensuring full data control and compliance with privacy standards. The solution is often deployed in a hybrid environment, integrating with hospital and state registries.
- Target Users: The primary users are cancer registrars, oncology data specialists, and cancer center leadership, who are freed from repetitive data entry to focus on high-value activities like accreditation, quality assurance, and research.
E-Path transforms the cancer registry from a manual cost center into a strategic asset by unlocking accurate, real-time data for research, Value-Based Care (VBC) contracts, and leadership decision-making.