NCT04277650

System for High-Intensity Evaluation During Radiotherapy

System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-directed Clinical Evaluations During Outpatient Cancer Radiation and Chemoradiation

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 311 (actual)
• Sponsor: Duke University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Radiation Therapy Complication
• Chemotherapeutic Toxicity

Interventions

Type	Name	Description
OTHER	Machine learning algorithm	machine learning directed identification of radiotherapy or chemoradiotherapy patients at high-risk for emergency department acute care and/or hospitalization

Timeline

• Start date: 2018-09-07
• Primary completion: 2019-06-30
• Completion: 2019-06-30
• First posted: 2020-02-20
• Last updated: 2021-05-19

Locations

1 site across 1 country: United States