Acute Risk Monitoring for Oncology Therapy Regimen

Completed

Conditions studied: Cancer, Acute Care Service Utilization

In brief

Patients undergoing outpatient infusion systemic therapy for cancer are at risk for potentially preventable, unplanned acute care in the form of emergency department (ED) visits and hospitalizations. These events impact patient outcomes, treatment decisions, and healthcare costs. To address this need, the Centers for Medicare \& Medicaid Services developed the chemotherapy measure (OP-35). Recent randomized controlled studies indicate that electronic health record (EHR)-based machine learning (ML) approaches accurately direct supportive care to reduce acute care during radiotherapy. This study aims to develop and prospectively validate ML approaches to predict the risk of OP-35 qualifying, potentially preventable, acute care events within 30 days of infusion systemic therapy.

Key facts

Study ID

NCT07601802

Run by

University of California, San Francisco

People needed

4740

Starts

2017-07-01

Expected to finish

2024-03-31

Last updated by the study team

2026-05-22

Who can join

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

You may qualify if…

• Patients 18 years or older diagnosed with cancer who receive care at UCSF and/or one of the UCSF affiliate locations.

You may not qualify if…

• Patients under the age of 18.
• Patients receiving care as part of a clinical trial.

Where it is running

• University of California, San Francisco — San Francisco, California, United States

Full record on ClinicalTrials.gov

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