Derivation of a Unique, Algorithm-Based Approach to Cancer Patient Navigator Workload Management.

Xiyitao ZhuPeng ZhangHyojung Kang Lavanya MarlaMarlene Isabel Robles GrandaRebecca A Ebert-AllenSarah Stewart de RamirezTenille OderwaldMackenzie McGeeJonathan A Handler

Published in: JCO clinical cancer informatics (2023)

This derivation work demonstrates the feasibility of an automated model to distribute new patients more fairly than random assignment (with unfairness assessed using a workload proxy). Improved workload management may help reduce CPN burnout and improve navigation assistance for patients with cancer.

Keyphrases

end stage renal disease
newly diagnosed
machine learning
ejection fraction
chronic kidney disease
peritoneal dialysis
prognostic factors
papillary thyroid
case report
young adults
lymph node metastasis
squamous cell carcinoma
patient reported
neural network