The impact of the heparin-induced thrombocytopenia (HIT) computerized alert on provider behaviors and patient outcomes. - Jonathan S. Austrian; Jason S. Adelman; Stan H. Reissman; Hillel W. Cohen; Henny H. Billett (J. Am. Medical Informatics Assoc., 2011)

Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay. - Jonathan S. Austrian; Catherine T. Jamin; Glenn R. Doty; Saul Blecker (J. Am. Medical Informatics Assoc., 2018)

Interrupting providers with clinical decision support to improve care for heart failure. - Saul Blecker; Jonathan S. Austrian; Leora Horwitz; Gilad J. Kuperman; Donna Shelley; Meg Ferrauiola; Stuart Katz (Int. J. Medical Informatics, 2019)

Disparities in Clinical Informatics Specialization Among Surgical Disciplines. - Jason C. Fisher; Jonathan S. Austrian; Jordan Swartz; Richard McGowan (AMIA, 2020)

The Financial and Clinical Impact of an Electronic Health Record Integrated Pathway in Elective Colon Surgery. - Jonathan S. Austrian; Frank Volpicelli; Simon Jones 002; Mitchell A. Bernstein; Jane Padikkala; Ashley Bagheri; Saul Blecker (Appl. Clin. Inform., 2020)

Design and implementation of a clinical decision support tool for primary palliative Care for Emergency Medicine (PRIM-ER). - Audrey Tan; Mark Durbin; Frank R. Chung; Ada L. Rubin; Allison M. Cuthel; Jordan A. McQuilkin; Aram S. Modrek; Catherine T. Jamin; Nicholas Gavin; Devin M. Mann; Jordan L. Swartz; Jonathan S. Austrian; et al. (BMC Medical Informatics Decis. Mak., 2020)

A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. - Narges Razavian; Vincent J. Major; Mukund Sudarshan; Jesse Burk-Rafel; Peter Stella; Hardev Randhawa; Seda Bilaloglu; Ji Chen; Vuthy Nguy; Walter Wang; Hao Zhang; Ilan Reinstein; et al. (npj Digit. Medicine, 2020)

Ensuring Covid patient end-of-life goals documented in an eMolst are honored through a novel and scalable health information exchange. - Jonathan S. Austrian; Alex Low; Victoria Javier; Christine Wilkins (AMIA, 2021)

Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction. - Elisabeth Yang; Yin Aphinyanaphongs; Paawan Punjabi; Jonathan S. Austrian; Batia Mishan Wiesenfeld (AMIA, 2022)

Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial. - Vincent J. Major; Simon Andrew Jones; Narges Razavian; Ashley Bagheri; Felicia Mendoza; Jay Stadelman; Leora I. Horwitz; Jonathan S. Austrian; Yindalon Aphinyanaphongs (Appl. Clin. Inform., 2022)

Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings. - Kar-mun C. Woo; Gregory W. Simon; Olumide Akindutire; Yindalon Aphinyanaphongs; Jonathan S. Austrian; Jung G. Kim; Nicholas Genes; Jacob A Goldenring; Vincent J. Major; Chloé S. Pariente; Edwin G. Pineda; Stella K. Kang (J. Am. Medical Informatics Assoc., 2024)

Health system-wide access to generative artificial intelligence: the New York University Langone Health experience. - Kiran Malhotra; Batia Mishan Wiesenfeld; Vincent J. Major; Himanshu Grover; Yindalon Aphinyanaphongs; Paul A. Testa; Jonathan S. Austrian (J. Am. Medical Informatics Assoc., 2025)