This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
8
An artificial intelligence system generating clinical recommendations using prompts, designed to simulate clinical advisory outputs. The protocol focuses on structured medical language generation.
Tsinghua University
Beijing, Beijing Municipality, China
Shanghai Health and Medical Center
Wuxi, Jiangsu, China
Physician Response to AI-Generated Medical Content
Participants will rate their level of agreement with AI-generated clinical suggestions presented in simulated medical scenarios. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate better agreement).
Time frame: Through study completion, an average of 1 week
Physician Perception of Communication Quality in AI-Generated Content
Participants will assess the communication style of AI-generated content, focusing on factors such as empathy. Ratings will be collected using a standardized 5-point scale (range 1-5, where higher scores reflect higher perceived quality).
Time frame: Through study completion, an average of 1 week
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