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ForwardGoldstein Lecture (ORC): Use of LLM and AI in Pain Research: Opportunities and Obstacles
It may be possible to use generative AI and Large Language Models (LLMs) across multiple domains of chronic pain research including mining electronic health records for pain phenotypes and treatment outcomes, extracting structured information from patient-reported symptoms in natural language, automating literature synthesis to identify knowledge gaps, and developing and testing patient-facing tools such as educational chatbots and symptom diaries. The goal is to use generative AI and LLMs to conduct both qualitative and quantitative research. There is potential to use these tools to analyze patient written narratives describing their pain and various self-management and self-care strategies employed by the patients. The tools can integrate genomic, imaging, and clinical data to generate and test these hypotheses. The most significant obstacle is that experts have not evaluated the quality of data used to train these models. Training data biases may cause pain conditions and demographics to be underrepresented. There are HIPPA and GDPR restrictions while handling protected patient data. We will discuss how these tools can be used for literature review and de-identified data exploration. We will also discuss available tools that utilize local or on-premise models for sensitive data. We have published extensively from the PRECISION registry and we want to explore the possibility of taking a second look at the same questions and data using LLMs.
Target Audience
This course is designed for physicians (MD/DO), pharmacists, nursing professionals, physicial therapists, public health professionals, and other members of the healthcare team engaged in pain management research.
Learning Objectives
At the conclusion of this activity, participants should be able to:
1. Evaluate the Use of Generative AI and Large Language Models for Chronic Pain Research.
2. Explore AI-Enabled Knowledge Discovery Using Existing PRECISION Registry Data.
3. Identify Opportunities, Limitations, and Ethical Considerations for AI Implementation.
Course summary
- 1.00 ACPE Pharmacy
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC
- 1.00 AOA Category 2-A
- 1.00 Certified Public Health (CPH)
- 1.00 HSC Participation
- 1.00 Physical Therapist (PT)
This activity is provided by the Texas Board of Physical Therapy Examiners Accredited Provider APS #: and meets continuing competence requirements for physical therapist and physical therapist assistant licensure renewal in Texas.
John Licciardone, John C. Licciardone, DO, MS, MBA
Samantha Johnson, BS
John Licciardone, John C. Licciardone, DO, MS, MBA
Heather Lindsey
Subhash Aryal
Accreditation Statements
In support of improving patient care, The University of North Texas Health Science Center at Fort Worth is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing Education for the healthcare team.
American Osteopathic Association
The University of North Texas Health Science Center at Fort Worth is accredited by the American Osteopathic Association to award continuing medical education to physicians.
National Board of Public Health Examiners
This activity is approved for ## credit(s) accepted by the National Board of Public Health Examiners' Certified Public Health (CPH) recertification program.
Texas Physical Therapy Association
This activity is offered by the Texas Board of Physical Therapy Examiners, Accredited Provider #2711035TX and meets continuing competence requirements for physical therapist and physical therapist assistant licensure renewal in Texas. The assignment of Texas PT CCUs does not imply endorsement of specific course content, products, or clinical procedures by TPTA or TBPTE.
Credit Designation Statements
Physicians
The University of North Texas Health Science Center at Fort Worth designates this program for a maximum of 1.0 contact hour of AOA Category 2A CME credits and will report CME and specialty credits commensurate with the extent of the physician's participation in the activity.
The University of North Texas Health Science Center at Fort Worth designates this activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Pharmacists
This knowledge-based activity has been assigned UAN JA0004637-0000-26-032-L08-P and will award 1.00 contact hour(s) of continuing pharmacy education credit in states that recognized ACPE Providers.
Statements of participation will indicate hours and CEUs based on participation and will be issued online at the conclusion of the activity. Successful completion includes completing the activity, its accompanying evaluation and/or posttest (score 70% or higher) and requesting credit online at the conclusion of the activity.
Credit will be uploaded to CPE Monitor, and participants may print a statement of credit or transcript from their NABP e-profile. UNT Health complies with the Accreditation Standards for Continuing Pharmacy Education.
Nurses
The University of North Texas Health Science Center designates this activity for up to 1.0 ANCC contact hour(s).
Certified Public Health Professionals
This activity is designated for up to 1.0 contact hour(s).
Physical Therapists
This course provides 1.0 contact hour(s) for PTs and PTAs licensed in Texas.
For successful completion, a participant must attend the program, complete the evaluation, and request credit online at the conclusion of the activity.
Certificate of Attendance
The University of North Texas Health Science Center at Fort Worth designates this activity for 1.0 hour(s) of participation.
Available Credit
- 1.00 ACPE Pharmacy
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC
- 1.00 AOA Category 2-A
- 1.00 Certified Public Health (CPH)
- 1.00 HSC Participation
- 1.00 Physical Therapist (PT)
This activity is provided by the Texas Board of Physical Therapy Examiners Accredited Provider APS #: and meets continuing competence requirements for physical therapist and physical therapist assistant licensure renewal in Texas.