A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. - Benjamin Alan Goldstein; Ann Marie Navar; Michael J. Pencina; John P. A. Ioannidis (CRI, 2016)

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. - Benjamin Alan Goldstein; Ann Marie Navar; Michael J. Pencina; John P. A. Ioannidis (J. Am. Medical Informatics Assoc., 2017)

Evaluating the Impact of Interruptive Alerts within a Health System: Use, Response Time, and Cumulative Time Burden. - Pierre Elias; Eric D. Peterson; Bob Wachter; Cary Ward; Eric G. Poon; Ann Marie Navar (Appl. Clin. Inform., 2019)

Using EHR data to identify coronavirus infections in hospitalized patients: Impact of case definitions on disease surveillance. - Ann Marie Navar; Irene Cosmatos; Stacey Purinton; Janet L. Ramsey; Robert J. Taylor; Rachel E. Sobel; Ginger Barlow; Gretchen S. Dieck; Michael L. Bulgrein; Eric D. Peterson (Int. J. Medical Informatics, 2022)

Large language models enabled multiagent ensemble method for efficient EHR data labeling. - Jingwei Huang 002; Kuroush Nezafati; Ismael Villanueva-Miranda; Zifan Gu; Ann Marie Navar; Tingyi Wanyan; Qin Zhou; Bo Yao; Ruichen Rong; Xiaowei Zhan; Guanghua Xiao; Eric D. Peterson; et al. (CoRR, 2024)

SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes. - Zifan Gu; Lesi He; Awais Naeem; Pui Man Chan; Asim Mohamed; Hafsa Khalil; Yujia Guo; Jingwei Huang 002; Ismael Villanueva-Miranda; Ying Ding; Wenqi Shi; Matthew E. Dupre; et al. (J. Am. Medical Informatics Assoc., 2025)