System for High-Intensity Evaluation During Radiotherapy

Not Applicable

Completed

Brief Summary: 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.

Recruitment & Eligibility

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

Arm && Interventions

Group	Intervention	Description
Once weekly clinical evaluation	Machine learning algorithm	Outpatient participants evaluated as high risk by the machine learning algorithm and provided once weekly clinical evaluations
Twice weekly clinical evaluation	Machine learning algorithm	Outpatient participants evaluated as high risk by the machine learning algorithm and provided twice weekly clinical evaluations

Primary Outcome Measures

Name	Time	Method
Number of unplanned emergency department visits or hospital admissions	6 months

Secondary Outcome Measures

Name	Time	Method
Number of missed clinical evaluation visits	6 months
Number of acute care visits with listed reason as anemia, nutrition (including dehydration), diarrhea, emesis, infectious (including fever, pneumonia, and sepsis), nausea, neutropenia, pain category	6 months
Number of unplanned emergency department visits or hospital admissions up to 15 days post radiation treatment	up to 15 days post radiation treatment

Receive instant email notifications about changes in this clinical trial

Receive instant email notifications about changes in this clinical trial