Rachel Richesson recently published an article entitled "A survey of clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods," in the June issue of Artificial Intelligence in Medicine. The article was co-authored with experts from the Georgia Institute of Technology, Department of Health Sciences Research, Northwestern University, and Vanderbilt University.

She also published an article entitled "A Framework to Support the Sharing and ReUse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications" in Generating Evidence & Methods to improve patient outcomes (eGEMs). The article was co-authored with Michelle Smerek with Duke Clinical Research Institute and C. Blake Cameron with Duke University School of Medicine.