1 citations · 1 across the 4 of their papers we have counts for
5 papers
Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
Patrick Vossler, Jialin Ouyang, F. Richard Guo +5
Hospital quality improvement (QI) programs routinely face multiple candidate interventions to optimize hospital flow, but existing methods struggle to estimate and rank the causal…
From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI
Patrick Vossler, Jean Feng, Venkat Sivaraman +9
Hospital Quality Improvement (QI) plays a critical role in optimizing healthcare delivery by translating high-level hospital goals into actionable solutions. A critical step of QI…
Human-AI Co-design for Clinical Prediction Models
Jean Feng, Avni Kothari, Patrick Vossler +6
Developing safe, effective, and practically useful clinical prediction models (CPMs) traditionally requires iterative collaboration between clinical experts, data scientists, and i…
When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
Avni Kothari, Patrick Vossler, Jean Digitale +8
Large language models (LLMs) have the potential to address social and behavioral determinants of health by transforming labor intensive workflows in resource-constrained settings.…
Bayesian Concept Bottleneck Models with LLM Priors
Jean Feng, Avni Kothari, Luke Zier +2
Concept Bottleneck Models (CBMs) have been proposed as a compromise between white-box and black-box models, aiming to achieve interpretability without sacrificing accuracy. The sta…