Using a prioritization algorithm in an oncology pharmacy system at the Johns Hopkins University, patient wait times for chemotherapy administration were significantly decreased. Objectives: To ...

Poor adherence to the collection of PROs may be a result of an incomplete understanding of which outcomes are most important to patients. Although patients are affected by disease and treatment across ...

Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study The majority of patients with cancer receive ...