We are conducting a paid research study with healthcare professionals (physicians and nurses) to document real, complex patient cases, based on actual clinical interactions.
The goal is to understand how medical decisions unfold in real life — what information truly matters, what constraints arise during care, where uncertainty or risk appears, and how clinical reasoning evolves across multiple interactions with a patient.
This research aims to help an artificial intelligence system better understand real healthcare scenarios, especially those involving nuance, ambiguity, trade-offs, and dependencies (such as symptoms evolving over time, patient history, adherence, risk stratification, diagnostic uncertainty, communication challenges, and care escalation) that cannot be solved with a single, standardized answer.
