Hospitalists and Family Medicine Physicians: AI Diagnosis Review
AI Summary
Hospitalists and family medicine physicians review de-identified patient charts, generate clinical diagnoses, and evaluate the accuracy of AI-proposed diagnoses to improve clinical AI tools.
About this role
What We're Researching
We're hiring hospitalists and family medicine physicians to help us evaluate the accuracy of clinical AI tools. This research feeds directly into improving how algorithms suggest diagnoses based on patient charts. Your medical expertise will help determine where AI models succeed and where they fall short in real-world clinical scenarios.
How It Works
You will review a series of de-identified patient records through our remote platform. For each case, you will form your own clinical diagnosis based on the provided chart. Next, you will review diagnoses proposed by an AI model and state whether you agree or disagree with its conclusions. The project requires a commitment of at least five hours to complete the assigned reviews.
Who This Is For
This opportunity is for active physicians who are comfortable reviewing general medical cases. We welcome licensed hospitalists, family medicine physicians, and general internal medicine practitioners. You should have strong experience in chart review and differential diagnosis generation.
What You'll Do
Review de-identified patient charts and medical records
Generate your own clinical diagnosis for each assigned case
Evaluate AI-proposed diagnoses for accuracy and clinical relevance
Dedicate a minimum of five hours to complete the case reviews
Who Should Apply
Active medical license in the US
Practicing hospitalist or family medicine physician
Strong background in generating differential diagnoses
Available to complete remote chart reviews between September 24 and 27
Compensation
$200 per hour
Ready to participate?
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
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