An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service
University of California, San Francisco
Summary
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
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Patients may take part in this study if they: * 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 Patients cannot take part if they: * Have too much missing information in their medical record (more than 75%) * Have a surgery scheduled less than 1 month away * Have serious memory or thinking problems that make participation difficult * Are in another clinical study that would interfere with this one * Do not live in California * Choose not to pa…