Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71831, first published .
Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Andrew James Goodwin   1 , MD, MSCR ;   Sara Ann Armstrong   2 , MD ;   David Ptak   3 ;   Kenneth Catchpole   4 , PhD ;   Jihad S Obeid   5 , MD ;   Paul M Heider   5 , PhD

1 Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Medical University of South Carolina, Charleston, SC, United States

2 Department of Medicine, Medical University of South Carolina, Charleston, SC, United States

3 Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, United States

4 Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, United States

5 Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States

Corresponding Author:

  • Andrew James Goodwin, MD, MSCR
  • Division of Pulmonary, Critical Care, Allergy and Sleep Medicine
  • Medical University of South Carolina
  • Suite 816 CSB, MSC 630, 96 Jonathan Lucas St.
  • Charleston, SC 29425
  • United States
  • Phone: 1 8437924728
  • Email: goodwian@musc.edu