Digital Health Innovation and Informatics
Panel 24 - Emerging Career Paths in Radiation Oncology Big Data - What you need to know.
9/18/2019
1:15 PM - 2:30 PM
Location: Room W176
Session Type: Panel
1.25 AMA PRA Category 1 Credits™
1.5 MDCB Credits
Development of big data analytics resource systems and their use with machine learning (ML), artificial intelligence (AI) and supporting ontologies have quickly emerged as major areas for research and development in radiation oncology and imaging. As the work of pioneers on the leading edge of this area begins to resolve into a distinct career focus for clinician scientists, how do we map out this new career path to support the growth of both individuals and their departments? In this panel session, we will examine this question from 5 points of view.
1) Department chairs who have few reference points for identifying optimal approaches in supporting both faculty and programs to reach potential of this emerging area for both clinical practice improvement and research
2) Program managers of NCI and NIH as they consider priorities in funding growth of single and multi-institutional growth in this area and the end products needed to sustain expansion of programs
3) Physician scientists as they expand their technical skills, build clinical teams that can support data aggregation and analytics and rally their colleagues to support enabling practice changes
4) Therapy Physicists as they take on changing roles in developing standardized solutions to bridge gaps in clinical processes that undermine data aggregation and develop new clinically implementable ML and AI tools to improve clinical practice
5) Imaging physicists as they break new ground in develop new ways to use imaging information to quantify measures that can be used to predict outcomes and improve therapies.
Learning Objectives:
- Define what supports chairs and NIH need to support growth in this area
- Define what skills physicians and physicists need to follow this career path
Presentations:
1:15 PM - 1:30 PM
What Department Chairs need to know for supporting and promoting growth of Big Data and Analytics
Speaker: – University of Michigan
1:30 PM - 1:45 PM
What programs and researchers need to know about finding funding for Big Data and Analytics
Speaker: – National Institutes of Health/National Cancer Institute
1:45 PM - 2:00 PM
What physicians need to know in building careers and teams in Big Data
Speaker: – MD Anderson Cancer Center
2:00 PM - 2:15 PM
Wearing two hats - how a clinical physicist becomes an information scientist
Speaker: – University of California, Los Angeles
2:15 PM - 2:30 PM
Lessons from the field, building an informatics career from a focus in imaging
Speaker: – Massachusetts General Hospital