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Cancer Registry

E-Path

Complex Cancer Datasets? No Longer a Problem.

View our webinar exploring how NLP-based AI addresses data challenges in healthcare

Learn how our AI supports customers in simplifying and improving registry reporting

Understand which of our E-Path solutions would best fit your institution

NLP-based AI for automated cancer datasets and registry reporting

Inspirata’s E-Path suite of cancer registry automation solutions is powered by an oncology-specific Natural Language Processing (NLP) based artificial intelligence fine-tuned for cancer reporting.

While complementing existing workflows, E-Path removes operator variability and far exceeds human performance in adjudicating reportable cases to help laboratories and cancer services rapidly arrive at more complete and accurate datasets.

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Introducing the E-Path Suite

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E-Path Lite

Representing Inspirata’s entry-level AI cancer registry solution, E-Path Lite enables institutions to start optimizing their registry workflows by deploying NLP to interrogate their diagnostic reports with a view to accelerating the identification of reportable cancer cases.

Compatible with AP-LIS/LIMS via HL7 and configured to draw on all relevant local or jurisdiction-specific case-finding rules, successful identification of a reportable case sees it syndicated directly to the cancer registry, or surfaced for final-mile quality assurance by the laboratory team within the solution’s dedicated case reviewer user interface.

E-Path Lite introduces an end-to-end workflow of mere seconds while ensuring a greater reporting accuracy and efficiency than what might otherwise be achieved through manual approaches.

*E-Path Lite is offered on a single-site basis only

E-Path

Developed for institutions managing more complex cancer registry workflows, E-Path introduces enterprise-level intelligent automation for scalable case-finding, report coding and TNM extraction.

Automatically surfacing case data elements related to morphology, topology, laterality, grade and pathologic staging information, E-Path also augments the patient view via the auto-collation of adjacent reports. Furthermore, E-Path removes the overhead associated with case identification and coding for those laboratories with significant pathology case throughput and/or struggling to meet their cancer registry obligations.

E-Path Plus

E-Path Plus is Inspirata’s flagship oncology NLP solution and has been developed to support all stakeholders benefiting from or involved in the process of cancer dataset creation, abstraction and registry reporting.

Building on the automated cancer case-finding and report coding functionality offered through its sister E-Path solutions, E-Path Plus maximizes the extensibility and breadth of the underlying NLP engine and oncology knowledgebase to empower users – whether laboratory or cancer service teams, cancer registrars or clinical researchers – to execute at scale the multitude of requests made of them for accurate and timely clinical datasets for population health, research studies, and registry reporting.

E-Path Plus is designed for large cancer centers and academic hospitals with complex cancer dataset creation requirements and for whom realizing significant time savings and improvements in the overall accuracy and consistency of how clinical data elements are surfaced and abstracted represents an institutional imperative.

Benefits of E-Path

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Laboratory Management

  • Works with any AP-LIS/LIMS
  • Ensures compliance with statutory reporting requirements
  • Accelerates throughput by removing the need for pathologists to case identify
  • Eliminates time spent in responding to registry requests for missing data
  • Requires negligible ongoing input or support from laboratory or IT staff
  • Reduces the risk of fines for non-conformance (UK)
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Cancer Services & Registrars

  • Reduces the risk of penalties for missing registry deadlines
  • Improves the institutional confidence in the quality of cancer datasets
  • Accelerates the review, coding, and verification of incoming pathology reports
  • Eliminates the need for demographic data entry
  • Reduces the amount of errors caused by missing data and human variation
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State Registries

  • Enhances accuracy and completeness of reports
  • Captures near real-time data to support ethically approved cancer research
  • Improves data integrity, particularly demographic data for record linkage
  • Enhances timeliness of registry data services to support research and evaluation
  • Provides validation of stage at diagnosis submitted by hospitals
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Laboratory Management

  • Works with any AP-LIS/LIMS
  • Ensures compliance with statutory reporting requirements
  • Accelerates throughput by removing the need for pathologists to case identify
  • Eliminates time spent in responding to registry requests for missing data
  • Requires negligible ongoing input or support from laboratory or IT staff
  • Reduces the risk of fines for non-conformance (UK)
section5a

Cancer Services & Registrars

  • Reduces the risk of penalties for missing registry deadlines
  • Improves the institutional confidence in the quality of cancer datasets
  • Accelerates the review, coding, and verification of incoming pathology reports
  • Eliminates the need for demographic data entry
  • Reduces the amount of errors caused by missing data and human variation
section5c

State Registries

  • Enhances accuracy and completeness of reports
  • Captures near real-time data to support ethically approved cancer research
  • Improves data integrity, particularly demographic data for record linkage
  • Enhances timeliness of registry data services to support research and evaluation
  • Provides validation of stage at diagnosis submitted by hospitals
E-Path Suite Attributes
Lite
E-Path
Plus
Automated review of pathology reports from LIMS
Auto-identification of reportable cancers and tumor classification
Seamless transfer of reportable cancer cases to local registry
Review portal for manual tumor coding
Automated coding and TNM extraction
Automated collation of reports for the same patient
300+ data elements for full oncology data extraction
E-Path report database repository and cancer case categorization
Output format customization and automated COSD/NAACCR mapping

“E-Path has had a significant impact on my department’s manpower, my ability to plan and balance resources, do more studies and move the case-finding abstracting date backward. Now that we are spending less time looking for patient data, we are able to focus on how to make registry data more sophisticated.”

E-Path in Action

National Cancer Institute (NCI)

14 Central Registries

300+ Hospitals

99% Sensitivity

98% Specificity

E-Path is utilized at state registries across the US as part of the NCI Surveillance Epidemiology and End Results (SEER) program.

Watch Dr Catherine Shang’s presentation from Inspirata’s last Executive Exchange in which she introduces Cancer Council Victoria, the Victorian Cancer Registry, and the efforts undertaken by her team, in partnership with Inspirata, to improve cancer reporting for the region.

E-Path in the News

OSF HealthCare Selects Inspirata as Its Cancer Informatics Solution Provider

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The new partnership between OSF HealthCare and Inspirata will see Inspirata’s data abstraction solution,…
Inspirata Partners with King’s Health Partners ECMC and Guy’s and St Thomas’ NHS Foundation Trust to Evaluate the Application of AI Automation in Matching Patients with Cancer to Early Phase Clinical Trials

Inspirata Partners with King’s Health Partners...

King’s Health Partners ECMC and Guy’s and St Thomas’ NHS Foundation Trust will pilot…
Inspirata Europe Achieves ISO 9001 Certification and the Inclusion of its Cancer AI on NHS Supply Chain Frameworks

Inspirata Europe Achieves ISO 9001 Certification...

Inspirata Europe has proudly achieved certification to ISO 9001 Quality Management System, Cyber Essentials,…

Benchmark your performance in arriving at timely and accurate datasets for registry reporting.

When it comes to compiling your registry submissions:

  • how much manual intervention is typically required?
  • how many people are involved?
  • how often is data missing or are reports delayed?
  • have you received fines for falling short of conformance?

For a personalized report detailing your institution’s performance vis-a-vis your peers, take our survey today.

Why Inspirata?

  • 100+ institutions in the U.S., Canada and Australia utilize our automated cancer identification and reporting
  • Established cancer reporting network and workflow within which we process 20M+ clinical reports per annum
  • 99% accuracy in cancer case-finding as documented in NCI and other third party validation studies
  • NLP and AI tools are developed and continuously updated by clinical cancer experts and validated by state and federal cancer registries worldwide
  • Algorithms developed by oncology experts

Request a Demo

*E-Path Lite is offered on a single-site basis only