Hospitalists and Family Medicine Physicians: AI Diagnosis Review
3 нед. назад
СШАRemote
clinical diagnosischart review
Medical professionals evaluate the accuracy of clinical AI diagnostic tools by reviewing patient records remotely.
О компании
- is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use to recruit, screen, and pay study participants across industries, languages, and skill sets.
- Learn more at .com or on YouTube at @jointerac .
Обязанности
- 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
Требования
- 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.
Условия
- $200 per hour
Другое
- 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.
- 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.
- 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