System for High-Intensity Evaluation During Radiotherapy

Completed · Not applicable

Conditions studied: Radiation Therapy Complication, Chemotherapeutic Toxicity

In brief

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.

Key facts

Study ID

NCT04277650

Run by

Duke University

People needed

311

Starts

2018-09-07

Expected to finish

2019-06-30

Last updated by the study team

2021-05-19

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

• 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

Where it is running

• Duke Cancer Center — Durham, North Carolina, United States

Full record on ClinicalTrials.gov

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