Utility of AI to Generate an Accurate Differential Diagnosis |
Survey Information and cover letter
We at Baylor College of Medicine Physician Assistant Program are beginning to research the comparison of AI-generated differential diagnoses with those of experienced healthcare professionals. We are contacting you because we believe you may be eligible as a medical provider in Texas and within the United States.
The study will evaluate the accuracy of AI in generating differential diagnoses for common medical conditions. The survey includes three case studies, each with ten differential diagnoses. As a medical provider, you are asked to read each case and then rank the 10 differentials from most likely to least likely. If you fill out this anonymous survey, you are consenting or agreeing to take part in this research.
This survey is anonymous, and data will only be reported in aggregate. The primary risk is the loss of confidentiality. Although the survey responses will be de-identified through SurveyMonkey, there is a minimal risk of data breaches. To mitigate this risk, secure data handling procedures and encryption will be used. By completing the survey, you consent to have your responses analyzed and reported in aggregate with those of other respondents. The survey should take approximately less than 10 minutes.
It will not cost you to take part in this study. We will not pay you to take part.
If you have any questions about this survey or the study, please contact Stephanie DeSandro, MS, PA-C at desandro@bcm.edu. If you have additional questions about your rights as a research subject, contact the Institutional Review Board for Human Subject Research for Baylor College of Medicine & Affiliated Hospitals at (713) 798-6970.
Thank you for your time.