Take the Pain Out of Cancer Registry Casefinding
Faster, More Accurate Casefinding for Cancer Registries
Free registrars from hours of repetitive work and lessen the burden of workforce shortages with accurate, timely, and complete casefinding.
E-Path’s advanced NLP engine searches pathology, imaging, and medical reports in seconds to identify reportable cancer cases with 98-99% accuracy.
Why Healthcare Providers Choose Inspirata: By the Numbers
Leading Hospitals Trust Inspirata
Pathology, Radiology, and Related Clinical Reports Processed Annually
Customer Retention Rate
Tackle Registry Workforce Shortages with E-Path and E-Path Plus
Reduce Manual Workload
Eliminate Backlogs
Real-Time Data Collection
How It Works
Enhanced Efficiency Through Cutting-Edge Automation
- Ingest structured and unstructured data
E-Path receives pathology and imaging reports, disease indices, and other medical records as identified, as well as ADT from ancillary systems like LIS, RIS, billing, and HIS. - Review data instantly
The tool’s advanced NLP engine sifts through these documents in seconds and detects cancer-related data elements to identify reportable cancer documents. - Report cancer cases with confidence
Data is then collected to enable faster reporting to state and accreditation.
Frequently Asked Questions
What is automated cancer casefinding?
Automated casefinding is the use of software to scan clinical documents and identify cases that must be reported to state and national cancer registries. E-Path automates this by monitoring pathology and radiology feeds in real-time, instantly flagging reportable cases and classifying them by site and histology.
How much time does E-Path save oncology data specialists?
Manual casefinding usually requires 30 to 45 minutes per report to screen for reportability. E-Path completes this same analysis in seconds. This allows ODS-certified staff to spend their time on complex abstraction and quality assurance rather than manual document screening.
Can E-Path process unstructured data from different clinical sources?
Yes. The NLP engine is built to interpret unstructured text from pathology reports, radiology findings, and disease indices. It can also ingest structured data like ADT (Admission, Discharge, Transfer) and billing records to provide a complete view of the patient’s reportable status.
Does E-Path help maintain cancer center accreditation?
Accuracy and timeliness are critical for maintaining CoC (Commission on Cancer) and NCI (National Cancer Institute) designations. E-Path ensures that every reportable case is captured and classified correctly, reducing the risk of missing data that could jeopardize accreditation status.
What is the implementation process for E-Path?
Implementation starts with a secure on-premises installation and integration with your clinical data feeds. Once configured, the system begins identifying cases immediately. We provide a custom ROI audit during the discovery phase to project the specific time and cost savings based on your annual case volume.