Machine-Learning Prediction and Reducing Overdoses With EHR Nudges

Launched by UNIVERSITY OF PITTSBURGH · Jan 31, 2025

Keywords

ClinConnect Summary

This clinical trial is exploring a new way to help doctors identify patients who are at a higher risk of opioid overdose. Researchers are using a computer program that analyzes health records to flag patients who may need extra attention when it comes to their opioid prescriptions. The trial will compare two approaches: one that includes helpful reminders for doctors (called nudges) and one that follows the usual care without these reminders. The main goal is to make prescribing safer and lower the chances of an overdose.

To participate in this study, individuals must be at least 18 years old and have received an opioid prescription in the past year. They should also have visited a primary care doctor within that time. However, those who have been diagnosed with certain serious illnesses, like cancer, or who are receiving hospice care are not eligible. If you join the study, you can expect to help researchers understand how these nudges might improve patient safety when it comes to opioid use. This could ultimately lead to better care for individuals at risk of overdose.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Received an opioid prescription within the past year
• • Age 18 years or older at the time of the opioid prescription
• • At least one visit to an internal medicine or family care practice within the past year
• Exclusion Criteria:
• • Diagnosis of malignant cancer within the past year
• • Enrollment in hospice care