Evaluating the effectiveness of problem based charting in utilizing the problem list to structure clinical data in the intensive care unit: a preliminary analysis of a retrospective time series study. - Ron C. Li; Daniel Z. Fang; Gomathi Krishnan; Lisa Shieh (CRI, 2016)

Validation of test performance and clinical time zero for an electronic health record embedded severe sepsis alert. - N. Lance Downing; John Shepard; Weihan Chu; Julia Tam; Alexander Wessels; Ron C. Li; Brian Dietrich; Michael Rudy; Leon Castaneda; Lisa Shieh; Joshua Rolnick (Appl. Clin. Inform., 2016)

Problem based charting: a method for improving problem list utilization and completeness. - Ron C. Li; Lisa Shieh; Gomathi Krishnan; Daniel Z. Fang; Jonathan H. Chen (CRI, 2017)

A "bottom up" data driven approach to curating electronic order sets. - Ron C. Li; Jason K. Wang; Christopher D. Sharp; Jonathan H. Chen (AMIA, 2018)

Impact of problem-based charting on the utilization and accuracy of the electronic problem list. - Ron C. Li; Trit Garg; Tony Cun; Lisa Shieh; Gomathi Krishnan; Daniel Z. Fang; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2018)

Detecting unanticipated actions downstream from clinical decision support: a data mining approach. - Ron C. Li; Imon Banerjee; Daniel L. Rubin; Jonathan H. Chen (AMIA, 2019)

It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery. - Ron C. Li; Naveen Muthu; Margaret Smith; Swaminathan Kandaswamy; Jonathan H. Chen (AMIA, 2020)

Developing a delivery science for artificial intelligence in healthcare. - Ron C. Li; Steven M. Asch; Nigam H. Shah (npj Digit. Medicine, 2020)

Rethinking PICO in the Machine Learning Era: ML-PICO. - Xinran Liu; James Anstey; Ron C. Li; Chethan Sarabu; Reiri Sono; Atul J. Butte (Appl. Clin. Inform., 2021)

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Kathy Grise; Jaeseung Song; Roberto Saracco; Lucy Lu Wang; Kyle Lo; Plamen Angelov 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

A framework for making predictive models useful in practice. - Kenneth Jung; Sehj Kashyap; Anand Avati; Stephanie Harman; Heather Shaw; Ron C. Li; Margaret Smith; Kenny Shum; Jacob Javitz; Yohan Vetteth; Tina Seto; Steven C. Bagley; et al. (J. Am. Medical Informatics Assoc., 2021)

Instability in clinical risk stratification models using deep learning. - Daniel Lopez Martinez; Alex Yakubovich; Martin Seneviratne; Ádám D. Lelkes; Akshit Tyagi; Jonas Kemp; Ethan Steinberg; N. Lance Downing; Ron C. Li; Keith E. Morse; Nigam H. Shah; Ming-Jun Chen (ML4H@NeurIPS, 2022)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 2022)

Impact of telemedicine on clinical practice patterns for patients with chest pain in the emergency department. - Nicolai Ostberg; Wui Ip; Ian Brown; Ron C. Li (Int. J. Medical Informatics, 2022)

Team is brain: leveraging EHR audit log data for new insights into acute care processes. - Christian Rose; Robert Thombley; Morteza Noshad; Yun Lu; Heather A Clancy; David Schlessinger; Ron C. Li; Vincent X. Liu; Jonathan H. Chen; Julia Adler-Milstein (J. Am. Medical Informatics Assoc., 2022)