Finding, Organizing, and Using CAP eCP Data to Accelerate Cancer Research

March 21, 2024
2:00 PM CT

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The Northwestern University Research Analytics has gone through a journey to leverage CAP eCP data. The journey has consisted of finding how CAP eCP data is stored in Epic Beaker, and optimizing its use by building an extension data model and ETL that represents discrete synoptic data in a simple entity attribute value (EAV) structure. This foundational work has enabled Research Analytics to incorporate CAP eCP data into multiple research analytic use cases. Research Analytics is now able to deliver analytic data sets that were only been obtainable in the past via manual chart abstraction or NLP extraction. The use cases that will be covered:

• Facilitating clinical trial recruitment: Many of the fundamental oncology data points that are essential in matching patients to clinical trial eligibility criteria can be sourced from discrete synoptic pathology data. NM Research Analytics has incorporated the querying of discrete synoptic pathology data into its delivery of clinical trial recruitment reports.
• Clinical Specimen Archive Annotation: Many of the attributes requested by investigators for identifying cohorts of patients with clinical specimens residing in the NM clinical specimen archive can be sourced from discrete synoptic pathology data. NM Research Analytics has incorporated the querying of discrete synoptic pathology data into its delivery of accession numbers for submission to the NM Clinical Specimen Release Committee.
• Automating Imports into REDCap Data Repositories: Many of the attributes that are manually abstracted by data coordinators for input into REDCap data repositories (for example, SPORE data repositories) can be sourced from discrete synoptic pathology data.

Presenters:
Michael Gurley, BA
Administrative Director of Cancer Informatics
Robert H. Lurie Comprehensive Cancer Center of Northwestern University

Bhadrappa Molgi, BSc
Data Engineer
Northwestern Medicine

Neelima Katam, MS
Research Data Analyst Senior
Robert H. Lurie Comprehensive Cancer Center of Northwestern University

Giorgio Di Salvo, MS
Research Data Analyst Senior
Robert H. Lurie Comprehensive Cancer Center of Northwestern University

This is the third in the College of American Pathologists Cancer Data Champions webinar series. Recording of the previous webinars are available.

In the first webinar, Pathology Report Data Life Cycle: How to Access Cancer Surveillance Data, speakers from the National Cancer Institute (NCI) and the Centers for Disease Control and Prevention (CDC) presented information about available data resources covering the US population and North America as well as the National Childhood Cancer Registry (NCCR). Presenters shared information about publicly available data visualization tools and how to gain access to the data for research.

Over 90% of cancer patients will receive a diagnosis of cancer based on the pathologist interpretation of the laboratory test. Historically, pathology reports have been full text-based reports that are not easily processed and analyzed. With the development and implementation of the College of American Pathologists' electronic Cancer Protocols (eCP), the critical data needed for patient care and research have been structured to ensure more complete, timely, and accurate data. In our second webinar, Transforming Cancer Registry Data: Unlock the Potential of CAP Cancer Protocols for Enhanced Completeness and Quality, presenters discussed the impact properly implemented eCP will have on the completeness, timeliness, and quality of cancer registry data and the challenges observed due to improper implementation of the eCP. California Cancer Registry reviewed their experience with receipt of eCP-structured data to enable more real-time case reporting that can be used to guide patient care, develop prevention programs, and provide cancer registry data.

Access Recordings Here