Experimental Design
This project plans to systematically investigate the influence mechanism of artificial intelligence diagnostic suggestions on doctors' professional decision-making through standardized patients (SP) field experimental methods. The study will be conducted in real medical scenarios to obtain behavioral data of experts collaborating with AI in their natural state.
The project will recruit a certain number of standardized patients through professional actor recruitment channels and community volunteer networks in a voluntary manner. All standardized patients will receive full project instructions and professional training before participation, and can participate in formal experiments only after passing the training.
The experiment will be conducted in the routine outpatient clinic of the hospital, and standardized patients will be treated according to a unified disease script (common diseases such as osteoporosis, prediabetes, hypertension, etc.). The experiment adopts a randomized group design: the control group standardizes patients without mentioning AI; Treatment group 1 presented AI diagnosis suggestions before the doctor's initial consultation; Treatment group 2 presented AI recommendations after the doctor's initial consultation. AI suggestions are divided into two categories: high-quality and controversial, with cross-random assignment.
Standardized patients fill in a structured record form immediately after the end of the visit, recording the doctor's diagnosis, prescription, examination recommendations, consultation duration, and key information of doctor-patient interaction, but standardized patients do not perform any real medical operations.