Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. - Maia L. Jacobs; Jeffrey He; Melanie F. Pradier; Barbara D. Lam; Andrew C. Ahn; Thomas H. McCoy; Roy H. Perlis; Finale Doshi-Velez; Krzysztof Z. Gajos (CHI, 2021)

Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations. - Barbara D. Lam; Fabienne C. Bourgeois; Zhiyong J. Dong; Sigall K. Bell (J. Am. Medical Informatics Assoc., 2021)

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. - Sharon Jiang; Shannon Shen 001; Monica Agrawal; Barbara D. Lam; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (MLHC, 2023)

A Patient-Centered Approach to Writing Ambulatory Visit Notes in the Cures Act Era. - Barbara D. Lam; David Dupee; Macda Gerard; Sigall K. Bell (Appl. Clin. Inform., 2023)

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. - Niklas Mannhardt; Elizabeth Bondi-Kelly; Barbara D. Lam; Chloe O'Connell; Mercy Asiedu; Hussein Mozannar; Monica Agrawal; Alejandro Buendia; Tatiana Urman; Irbaz B. Riaz; Catherine E. Ricciardi; Marzyeh Ghassemi; et al. (CoRR, 2024)

Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology. - Zeshan M. Hussain; Barbara D. Lam; Fernando A. Acosta-Perez; Irbaz B. Riaz; Maia L. Jacobs; Andrew J. Yee; David A. Sontag (CoRR, 2024)

Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. - Sharon Jiang; Barbara D. Lam; Monica Agrawal; Shannon Shen 001; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (J. Am. Medical Informatics Assoc., 2024)

Calibrating Expressions of Certainty. - Peiqi Wang; Barbara D. Lam; Yingcheng Liu; Ameneh Asgari-Targhi; Rameswar Panda; William M. Wells III; Tina Kapur; Polina Golland (ICLR, 2025)