This quality improvement project will evaluate the implementation of a previously described intervention (twice per week on-treatment clinical evaluations) in a feasible fashion using a previously described machine learning algorithm identifying patients identified at high risk for an emergency visit or hospitalization during radiation therapy.

Inclusion Criteria:

• started outpatient radiation therapy with or without concurrent systemic therapy at Duke Cancer Center

Exclusion Criteria:

• undergoing total body radiation therapy for hematopoetic stem cell transplantation
• undergoing therapy as inpatient
• treating physician who opted out of randomization
• completed radiation therapy prior to algorithm execution

De-identified summary data in the form of publication data tables and figures will be shared. Individual level data will not be shared.

The ML directed twice-weekly evaluation arm was unblinded. Participants and providers were blinded to ML identification of high risk participants in the once weekly evaluation (standard of care) arm.