Research Paper: Human Factors Barriers to the Effective Use of Ten HIV Clinical Reminders. - Emily S. Patterson; Anh D. Nguyen; James P. Halloran; Steven M. Asch (J. Am. Medical Informatics Assoc., 2004)

Research Paper: Exploring Barriers and Facilitators to the Use of Computerized Clinical Reminders. - Jason J. Saleem; Emily S. Patterson; Laura G. Militello; Marta L. Render; Greg Orshansky; Steven M. Asch (J. Am. Medical Informatics Assoc., 2005)

Identifying barriers to the effective use of clinical reminders: Bootstrapping multiple methods. - Emily S. Patterson; Bradley N. Doebbeling; Constance H. Fung; Laura G. Militello; Shilo Anders; Steven M. Asch (J. Biomed. Informatics, 2005)

Using Human Factors Methods to Design a New Interface for an Electronic Medical Record. - Jason J. Saleem; Emily S. Patterson; Laura G. Militello; Steven M. Asch; Bradley N. Doebbeling; Marta L. Render (AMIA, 2007)

Research Paper: Impact of Clinical Reminder Redesign on Learnability, Efficiency, Usability, and Workload for Ambulatory Clinic Nurses. - Jason J. Saleem; Emily S. Patterson; Laura G. Militello; Shilo Anders; Mercedes Falciglia; Jennifer A. Wissman; Emilie M. Roth; Steven M. Asch (J. Am. Medical Informatics Assoc., 2007)

Provider Stakeholders' Perceived Benefit from a Nascent Health Information Exchange: A Qualitative Analysis. - Joshua M. Pevnick; Maria L. Claver; Aram Dobalian; Steven M. Asch; Harris R. Stutman; Alan Tomines; Paul C. Fu Jr. (J. Medical Syst., 2012)

Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence. - Joshua M. Pevnick; Ning Li; Steven M. Asch; Cynthia A. Jackevicius; Douglas S. Bell (BMC Medical Informatics Decis. Mak., 2014)

Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions. - Donna M. Zulman; Susana B. Martins; Yan Liu; Samson W. Tu; Brian B. Hoffman; Steven M. Asch; Mary K. Goldstein (AMIA, 2015)

Usability of an Automated Recommender System for Clinical Order Entry. - Jonathan H. Chen; Mary K. Goldstein; Steven M. Asch; Russ B. Altman (AMIA, 2016)

Automated Organization of Electronic Health Record Data by Probabilistic Topic Modeling to Inform Clinical Decision Making. - Jonathan H. Chen; Mary K. Goldstein; Steven M. Asch; Lester W. Mackey; Russ B. Altman (CRI, 2016)

Dynamically Evolving Clinical Practices and Implications for Predicting Medical Decisions. - Jonathan H. Chen; Mary K. Goldstein; Steven M. Asch; Russ B. Altman (PSB, 2016)

Decaying Relevance of Clinical Data when Predicting Future Decisions. - Muthuraman Alagappan; Mary K. Goldstein; Steven M. Asch; Russ B. Altman; Jonathan H. Chen (CRI, 2017)

Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets. - Jonathan H. Chen; Muthuraman Alagappan; Mary K. Goldstein; Steven M. Asch; Russ B. Altman (Int. J. Medical Informatics, 2017)

Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets. - Jonathan H. Chen; Mary K. Goldstein; Steven M. Asch; Lester W. Mackey; Russ B. Altman (J. Am. Medical Informatics Assoc., 2017)

Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis. - Yingjie Weng; Lu Tian; Dario Tedesco; Karishma Desai; Steven M. Asch; Ian Carroll; Catherine M. Curtin; Kathryn M. McDonald; Tina Hernandez-Boussard (Health Informatics J., 2020)

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases. - Andre Kumar; Rachael C. Aikens; Jason Hom; Lisa Shieh; Jonathan Chiang; David Morales; Divya Saini; Mark A. Musen; Michael T. M. Baiocchi; Russ B. Altman; Mary K. Goldstein; Steven M. Asch; et al. (J. Am. Medical Informatics Assoc., 2020)

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

Randomized user testing of recommender system clinical decision support. - Andre Kumar; Rachael C. Aikens; Jason Horn; Lisa Shieh; Mark A. Musen; Michael T. M. Baiocchi; Russ B. Altman; Mary K. Goldstein; Steven M. Asch; Jonathan H. Chen (AMIA, 2021)

Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. - Harris Carmichael; Jean Coquet; Ran Sun; Shengtian Sang; Danielle Groat; Steven M. Asch; Joseph Bledsoe; Ithan D. Peltan; Jason R. Jacobs; Tina Hernandez-Boussard (J. Biomed. Informatics, 2021)

Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020. - Jean Coquet; Alban Zammit; Oualid El Hajouji; Keith Humphreys; Steven M. Asch; Thomas F. Osborne; Catherine M. Curtin; Tina Hernandez-Boussard (Frontiers Digit. Health, 2022)

Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial. - Vy T. Ho; Rachael C. Aikens; Geoffrey J. Tso; Paul A. Heidenreich; Christopher D. Sharp; Steven M. Asch; Jonathan H. Chen; Neil K. Shah (J. Am. Medical Informatics Assoc., 2022)

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring. - Oualid El Hajouji; Ran Sun; Alban Zammit; Keith Humphreys; Steven M. Asch; Ian Carroll; Catherine M. Curtin; Tina Hernandez-Boussard (PLoS Comput. Biol., 2023)

Can Artificial Intelligence Generate Quality Research Topics Reflecting Patient Concerns? - Jiyeong Kim; Michael L. Chen; Shawheen J. Rezaei; Mariana Ramirez-Posada; Jennifer L. Caswell-Jin; Allison W. Kurian; Fauzia Riaz; Kavita Yang Sarin; Jean Y. Tang; Steven M. Asch; Eleni Linos (CoRR, 2024)

Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. - Behzad Naderalvojoud; Catherine M. Curtin; Chen Yanover; Tal El-Hay; Byungjin Choi; Rae Woong Park; Javier Gracia-Tabuenca; Mary Pat Reeve; Thomas Falconer; Keith Humphreys; Steven M. Asch; Tina Hernandez-Boussard (J. Am. Medical Informatics Assoc., 2024)

Artificial intelligence tools in supporting healthcare professionals for tailored patient care. - Jiyeong Kim; Michael L. Chen; Shawheen J. Rezaei; Tina Hernandez-Boussard; Jonathan H. Chen; Fátima Rodriguez; Summer S. Han; Rayhan A. Lal; Sun H. Kim; Chrysoula Dosiou; Susan M. Seav; Tugce Akcan; et al. (npj Digit. Medicine, 2025)

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records. - Fateme Nateghi Haredasht; Fatemeh Amrollahi; Manoj Maddali; Nicholas Marshall; Stephen P. Ma; Lauren N. Cooper; Richard J. Medford; Sanjat Kanjilal; Niaz Banaei; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; et al. (CoRR, 2025)

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation. - Fatemeh Amrollahi; Nicholas Marshall; Fateme Nateghi Haredasht; Kameron C. Black; Aydin Zahedivash; Manoj Maddali; Stephen P. Ma; Amy Chang; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; Niaz Banaei; et al. (CoRR, 2025)