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

Trial statusNot yet recruiting
Trial phasePhase 3
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of California, San Francisco

About this trial

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.

Eligibility criteria

Qualifiers

Are 18 years or older

Are having a planned (elective) surgery at UCSF

Are identified as higher risk for chronic pain after surgery by a computer model

Agree to join the study and sign consent

Disqualifiers

None

Trial design

Treatments tested in this trial

  • TPS-Select
  • Pharmacologic Pain Management
  • Interventional Pain Procedures
  • Psychological Management and Pain Education
  • Physical Therapy

Treatment groups

126 Participants
are divided into 2 treatment groups