WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research
In this seminar, you’ll learn about the use of patient data combined from sources throughout the healthcare system. This type of patient data is called a longitudinal patient record (LPR), and it’s a type of real-world data that can drive precision oncology forward.
Despite recent progress using LPRs for cancer research, there are many things to consider that could improve the way researchers use this combined patient data. The Mayo Clinic’s Dr. Hongfang Liu will discuss the opportunities and challenges, including:
- applying Reproducible, Implementable, Transparent, and Explainable (RITE) principles to the data.
- applying Findable, Accessible, Interoperable, and Reusable (FAIR) principles to the data.
- the limits to using only imaging or structured data, without important information from clinical narratives.
The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.
Dr. Liu is the Dr. Richard F. Emslander Professor of Biomedical Informatics at the Mayo Clinic, and she is directing the biomedical informatics program at the Mayo Clinic Center for Clinical and Translational Science. Dr. Liu has a broad range of research interest in the discovery, translation, and application of data science, informatics, and artificial intelligence. Dr. Liu is committed to advancing people-centric, value-added, and evidence-based methodology and technology innovations under the RITE-FAIR principles.