Sunday, March 1 (10)

11:00 AM-12:00 PM

Neuromodulation and Mitigating the Risk of Infection (411)

Neuromodulation increasingly is seen as an alternative opioid-sparing treatment option. Given its increased use, it is vitally important that implanters understand how to identify patients at increased risk of infection, mitigate infection, and manage infection. Attendees will leave this session feeling more confident in how to decrease and manage infections.

Protocols for Infection Prevention

Samer Narouze

When the Redness Doesn’t Resolve: Infection Identification and Management

Stephanie Neuman

Case Experiences: Bugs and Beyond

Susan Moeschler

Learning Objectives:

  • Discuss the incidence and impact of spinal cord stimulator infections along with identified surgical site infection risk factors.
  • Diagnose and discuss types of spinal cord stimulator infections.
  • Identify best practices for infection prevention as well as treatment approaches based on infection type.
Co-Presenters:

Samer Narouze

Susan Moeschler

Moderator:

Stephanie Neuman

11:00 AM–12:00 PM

Identifying Phenotypes and Advancing Precision Pain Care: Leveraging the Data Gap (410)

With the explosion of health information technology, there is potential to rapidly advance phenotyping in pain medicine to inform mechanistic gaps and identify novel treatments. The interface between traditional and novel (AI and machine-learning) techniques will be presented for pain research and precision pain care.

The Interface of Traditional and Machine-Learning Approaches to Assess Persistent Post-Surgical Pain

Jennifer Hah

Spine Pain Mechanistic Phenotyping

Andrea Nicol

Electronic Health Data Challenges and Applications in Pain Medicine Research and Treatment

Meredith Adams

Learning Objectives:

  • Define current approaches used to comprehensively phenotype patients with chronic spine pain, including deep characterization through patient-reported outcome measures, quantitative sensory testing, and neuroimaging techniques. Identify gaps in knowledge in spine pain phenotyping and provide a conceptual framework for how clinical phenotyping can interface with machine learning and big data.
  • Define fundamental challenges to pain data organization and collection in electronic health data in the United States. Identify advanced analytic methods for working with electronic health data and current solutions to large-scale data modeling. Identify potential roles for informatics in pain research.
  • Identify current limitations to perioperative risk stratification for persistent postsurgical pain and opioid use. Define how machine learning and data mining of the electronic health record can advance knowledge discovery to augment risk stratification, inform prevention efforts, and complement clinical treatment pathways.
Co-Presenters:

Andrea Nicol

Meredith Adams

Moderator:

Jennifer Hah

11:00 AM–12:00 PM

Pain and Addiction: Which Came First? (409)

Rigid implementation of the 2016 Center for Disease Control and Prevention guidelines caused the physical and psychological suffering of chronic pain patients. The speakers in this session are experts in ethical tapering of opioids based on patients' quality of life (QOL), ability to function, and opioid-related side effects. The panelists will address both the pharmacological and behavioral aspects of managing these patients.

Chronic Pain and SUD: The Multimorbidity Underneath

Vitaly Gordin

Ethical Opioid Tapering: Patient Comes First

W. Michael Hooten, MD

The Role of Psychologist in Managing Opioid Use Disorder

Joseph Hobelmann, MD MPH

Learning Objectives:

  • Examine ethical patient-centered opioid tapering aimed at improving QOL and decreasing opioid-related side effects.
  • Examine behavioral approaches to patients using chronic opioids and how a psychologist can help reduce opioid dose while empowering the patient.
9:45–10:45 AM

Moving from Patient-Reported Outcomes to Medical Informatics Approaches to Help Your Practice (407)

This session will discuss how patient-reported outcomes, advanced analytics, and medical informatics can help your pain practice.

Combining PRO's and Medical Record Information to Predict Patient Outcomes in Your Practice

Ajay Wasan

Medical Informatics Approaches to Pain Management Beyond Patient-Reported Outcomes

Meredith Adams

Latest Advances in CHOIR, Results, and Practice Lessons Learned

Sean Mackey

Learning Objectives:

  • Identify cutting-edge approaches to collecting patient-reported outcomes.
  • Interpret the role of advanced medical informatics and their approaches to pain management.
  • Examine how the combination of PRO collection plus medical informatics, AI, and predictive analytics will revolutionize the approach to assessing and treating chronic pain.
Co-Presenters:

Meredith Adams

Sean Mackey

Moderator:

Ajay Wasan

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