The mission of the Cancer Research Program is to integrate with the ACS Cancer Programs and lead research to improve the care of the person with cancer, in particular the surgical cancer patient. The vision of the CRP is to improve patient outcomes through data analysis, validation, and implementation of standards and research.
Chair, Cancer Research Program: Judy C. Boughey, MD, FACS
Senior Manager, Cancer Research Program: Amanda Francescatti, MS
The Cancer Research Program maintains two committees: the Standards Investigation and Validation (SIV) Committee and the Cancer Data Modeling (CDM) Committee.
CoC, NAPBC, NAPRC, and CSSP all work to set accreditation standards with the goal of improving patient care. One aim of the CRP is to validate the impact of standards, conduct research to help establish new standards and demonstrate the value of adherence to standards. We will achieve this through many mechanisms, including partnership with the CSSP to evaluate the impact of operative standards on patient outcomes. Another area of investigation is research on the impact of survivorship programs on patient experience. Members will have experience with cancer standards development/implementation.
Ingrid Lizarraga, MBBS, FACS
Elizabeth Funk, MSW
Current Standards Investigation and Validation Committee Members
Elizabeth Habermann, Ph.D.m MPH
Elizabeth Funk, MSW
Current Cancer Data Modeling Committee Members
The Cancer Data Modeling Committee will bring a team of modeling experts together to consider new approaches to explore and investigate the incorporation of diverse types of data (i.e., social determinants of health and evolving biologic marker data) and use of big data to drive the development of new clinical tools. It is expected that committee members will be familiar with large datasets such as SEER, NCDB, and clinical trials data and they will either have access to these data sets or be eligible to have access to these databases. The overarching goal of the CDM will be to develop new clinical tools (such as a survival calculator) and annual reports that identify trends in cancer care and outcomes across multiple disease sites. Members will have experience with large datasets such as SEER, NCDB, and clinical trial data, data mining, analytics, cross-sectional cancer investigations, and/or biologic modeling.