Getting the most from Big Data Sets: Where to find them and how to use them effectively on-demand conference
Organizers
Joshua D. Stein MD, MS, Bennie H. Jeng, MD, Maria Fernanda Abalem, MD and Emily Patterson, PhD
Description
The data-intensive practice of ophthalmology offers a potential research goldmine about vision pathways and the prevention and treatment of eye disease. However, this data and the ability to use it effectively are still out of reach to the average investigator. This on-demand conference provides early and mid-career clinicians, clinician-scientists and basic researchers with strategies to access and integrate these big clinical data sets.
Launch date: December 22, 2020
Expiration date: December 31, 2021
Expiration date: December 31, 2021
Estimated duration
9 hours 15 minutes
Target audience
The educational design of this activity addresses the needs of early and mid-career clinicians, clinician-scientists and basic researchers seeking to utilize large clinical data sets to answer research questions aimed at improving our understanding of the visual system and preventing, treating and curing its disorders.
Physician accreditation statement
The Association for Research in Vision and Ophthalmology (ARVO) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Physician credit designation
The Association for Research in Vision and Ophthalmology (ARVO) designates this enduring material activity for a maximum of 9.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Members-in-Training ($49.00); Members ($89.00); Nonmembers ($129.00)
Credits
CME:9.25, COP:9.25
Description
This activity includes presentations from Joshua D. Stein, MD, MS; Michael F. Chiang, MD; Brian L. VanderBeek, MD, MPH; Suzann Pershing, MD; Tyler Hyungtaek Rim, MD, MBA; Paul Foster, FRCS(Ed), FRCOphth, FRCS(Eng); Pedro Carlos Carricondo MD, PhD, MBA; Alice C. Lorch, MD, MPH; Elizabeth Vanner, PhD; Adnan Tufail, BM BS, MD, FRCOphth; Sophia Ying Wang, MD; Brian C. Stagg, MD; Todd Durham, PhD; Aaron Y. Lee, MD, MSc; Pearse Keane, MD, FRCOphth; Takenori Inomata, MD, PhD, MBA; Daniel SW Ting, MD, PhD; Tina Hernandez-Boussard, PhD, MPH, FACMI; Angela R. Elam, MD; Sally L. Baxter, MD, MSc
After attending this course, participants will be able to define big data and protected health information (PHI), cite a list of available big data sets for eye and vision research, discuss pathways to gain access to big data sets, implement strategies to address data issues that exist within most big data sets, recite options to interrogate big data sets and list common tools used to visualize big data sets.
