Abstract: Due to the high cost of care and treatment for patients with acute lymphoblastic leukemia, there is a need to better understand factors that may influence outcomes. Data was retrieved from two data repositories at one clinical datasite from those with an ALL diagnosis during years 2000-2017. The quality of data was assessed systematically to determine 'fit-for-purpose' to conduct a survival analysis. Constructs of completeness, correctness, and currency were explored for the data dimensions of patient, variables, and time.

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Participants will be able to determine whether examining the characteristics and usefulness of EHR data can determine survival and complications of cancer patients diagnosed with acute lymphoblastic leukemia.

Authors:

Victoria Ngo (Presenter)
University of California Davis

Theresa Keegan, University of California Davis
Brian Jonas, University of California Davis
Michael Hogarth, University of California San Diego
Katherine Kim, University of California Davis