Expertise and Research Interests:

Anna Ripple is a 1991/92 alumna of the NLM Associate Fellowship Program, a one-year postgraduate training program for Librarians. Ms. Ripple joined the LHNCBC in 1992. She was involved with the early days of UMLS and ClinicalTrials.gov. Other projects spanning her career focused on novel applications of MEDLINE to support data discovery and drug safety. Recently, Ms. Ripple was a member of the Data Science @NLM Training Program team and served as a co-chair on one of the three NLM Racial and Ethnic Equity Program REEP Implementation Committees.

Publications:

Sorbello A, Haque S, Hasan R, Jermyn R, Hussein A, Vega A, Zembrzuski K, Ripple A, Ahadpour M. Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study. JMIR AI 2023;2:e45000 URL: https://ai.jmir.org/2023/1/e45000 DOI: 10.2196/45000.

Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R, Shah NH. Toward multimodal signal detection of adverse drug reactions. . J Biomed Inform. 2017 Dec;76:41-49. doi: 10.1016/j.jbi.2017.10.013. Epub 2017 Nov 1.

Sorbello A, Ripple AM, Tonning J, Munoz M, Hasan R, Ly T, Francis H, Bodenreider O. Harnessing scientific literature reports for pharmacovigilance. Prototype software analytical tool development and usability testing. Appl Clin Inform. 2017 Mar 22;8(1):291-305. doi: 10.4338/ACI-2016-11-RA-0188.

Sorbello A, Ripple AM, Bodenreider O. A pilot study to support prospective detection of emerging adverse drug events [Poster]. AMIA Annu Symp Proc 2015:1699.

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