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Greater Intermountain Node


Data is everywhere and expansive. Incorporating data science as a tool for the study of substance use disorders can be leveraged to reveal new aspects of addiction biology and treatment.

Learn more about the data science initiatives happening here at the Greater Intermountain Node below.

CIAI Workgroup

The Clinical Informatics and Artificial Intelligence (CIAI) Workgroup of NIDA CTN was formed in February of 2020 and concluded in May of 2021. The purpose of this group was to act as a forum to discuss CIAI topics related to the NIDA Clinical Trials Network (CTN) and form collaborations around CIAI projects for CTN or other funding sources.

Review the list CIAI Workgroup members below:

  • Majid Afshar, MD MSCR; University of Wisconsin
  • David S. Carrell, PhD; Kaiser Permanente Washington Health Research Institute
  • Elizabeth Charron, PhD MPH; University of Utah
  • Gerald Cochran, PhD MSW; University of Utah
  • Ryan Cook; Oregon Health and Sciences University
  • Daniel J. Feaster, PhD; University of Miami Miller
  • Adam J. Gordon, MD MPH; University of Utah
  • David Gustafson, PhD; University of Wisconsin in Madison
  • Yih-Ing Hser, PhD; University of California
  • Niranjan Karnik, MD; Rush Medical College
  • Christophe Lambert, PhD; University of New Mexico
  • Hongfang Liu, PhD FACMI; Mayo Clinic
  • Weihsuan Lo-Ciganic, PhD; University of Florida
  • John Marsden, BSc MSc PhD; Kings College London
  • Rebecca Rossom, MD MS; University of Minnesota
  • Todd Wagner; Stanford University
  • Nancy West, PhD; University of Utah
  • Li-Tzy Wu, DSc; Duke University
  • Rui Zhang, PhD; University of Minnesota
  • Yue Zhang; University of Utah
  • Vivienne Zhu, MD; University of South Carolina


The Greater Intermountain Node served as a clinical and research consultative service within a collaboration with the Utah Population Database (UPBD). Through this service, GIN faculty and staff provided consultation to researchers and UPDB staff as they interacted with a goal to improve efficiency of processes in compliance with the standards and formats of UPDB.

The Database Opioid Research Consultation Service provided expertise in addiction-related clinical care, epidemiology, data management, and research, allowing for the facilitation of the following under the umbrella of the UPDB:         

  • Provide a data infrastructure that integrates and presents a comprehensive data source for opioid use and health outcomes.
  • Construct variables that are specific to opioid use and misuse.
  • Maintain documentation of data set and created variables.
  • Manage and maintain master datasets and work files.
  • Preserve past and present coding algorithms for future use.
  • Provide clinical and research consultation to researchers/stakeholders and UPDB staff regarding data pulls.

Benefits of the Database Opioid Research Consultation Service included:

  • Increased opioid research productivity
  • Fostered more and new research collaborations.
  • Reduced the burden on the UPDB team to address the rapidly increasing number of data requests related to opioid use.

This service was developed and offered from 2020-2022.