An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service

The goal of this clinical trial is to learn whether a pain-management program called a Transitional Pain Service can help prevent long-term pain and reduce opioid needs after surgery in adult surgical patients who may be at higher risk for developing persistent pain. The main questions this trial aims to answer are: 1) Does the Transitional Pain Service help high-risk surgical patients manage pain better after surgery? 2) Can a computer tool (an algorithm) improve screening of patients for long-lasting pain after surgery? The investigators will compare patients who continue with their usual care to patients who receive support from the Transitional Pain Service to see if the program leads to better pain control and lower opioid use. Participants will share information about their pain levels and the pain-relief treatments they are using before and after surgery so researchers can better understand how the program affects recovery. Patients assigned to the Transitional Pain Service will also be offered additional coordinated support before and after their surgery to help optimize their pain control and overall recovery.

NCT Number	NCT07296770
Lead Sponsor	University of California, San Francisco
Conditions	Postsurgical Pain Management, Postsurgical Pain, Chronic, Opioid Use After Surgery
Enrollment	126 participants
Start Date	2026-10-01
Primary Completion	2027-12-01 (estimated)
Study Completion	2028-07-01 (estimated)
Updated on ClinicalTrials.gov	2026-07-13