Toward Precision
Cancer Surveillance

Sep
4
More than 40 in-person participants attended the QIE F2F meeting (pictured here outside of the NCI Shady Grove building). Attendees included representatives from NCI and from registries across the nation. They gathered to discuss SEER quality improvement efforts as well as current data collection issues facing the registries.

The NCI Surveillance Research Program’s Quality Improvement Experts (QIE) team hosted its annual QIE Face-to-Face (F2F) meeting at the NCI Shady Grove campus on August 14-15, 2019. The meeting brought together data quality experts from cancer registries across the country both in person and online to discuss current and future projects, address relevant questions and concerns, and encourage collaboration.

The QIE F2F meeting focused on quality improvement updates for upcoming audit plans as well as discussion of data collection issues faced by the registries.

QIE Updates

NCI has been working on a large project looking at neoadjuvant therapy and treatment activities. One session consisted of discussions about leveraging SEER data, such as to investigate the use of pre-operative systemic treatment. The goal of this research is to develop an algorithm using existing SEER data that will accurately ascertain someone’s likelihood of having received neoadjuvant... Read more

MeetingQIEF2FQIE F2FQuality Improvement Expertsupdatesquality improvementaudit plansdata collectionalgorithmneoadjuvantcollaboration
Jun
5

An integrated team from NCI’s Surveillance, Epidemiology, and End Results (SEER) Program, four Department of Energy (DOE) labs—Oak Ridge National Laboratory (ORNL), Lawrence Livermore National Lab, Los Alamos National Lab, and Argonne National Lab—Information Management Systems (IMS), and four SEER registries met on March 28th–30th, 2017 to continue their work on the NCI-DOE Pilot 3 collaboration. This partnership will enhance cancer research using the DOE’s expertise in high performance computing and SEER’s expertise in cancer surveillance. The meeting focused on the progress made in Aim 1 and Aim 2 of the pilot as well as future goals for Aim 3.

The goal of Aim 1 is to create natural language processing (NLP) and machine learning tools that can accurately capture information from unstructured clinical text for expanded cancer surveillance data reporting. The collaboration team has completed development of a Clinical Document Annotation and Processing (CDAP) pipeline. This... Read more

collaborationDOEsurveillance dataCDAPNLP
Oct
18

NCI is collaborating with the U.S. Department of Energy (DOE) as part of the inter-agency coordination activities defined in the National Strategic Computing Initiative (NSCI) Presidential Order (July 29, 2015) and announced during Vice President Biden’s Cancer Moonshot Summit on June 29, 2016. The NCI-DOE collaboration has initiated three pilot efforts that will simultaneously impact the future of cancer research and guide future advances in scientific computing. These pilots will characterize and help overcome key precision oncology challenges at the molecular, patient, and population levels during the next three years.

DOEcollaborationpilotcancer surveillancenatural language processingalgorithmslinkagesmodeling