On-site
Full Time
• Review AI-generated medical documentation (e.g., SOAP notes, HPI, ROS, A/P) for accuracy, completeness, and alignment with clinical conversations.
• Compare AI-generated notes with audio transcripts or encounter summaries.
• Annotate errors or omissions in AI-generated documentation.
• Provide structured feedback to product and engineering teams to improve model performance.
• Evaluate documentation quality across various specialties, including Internal Medicine, Family Medicine, Geriatrics, Cardiology, and Psychiatry.
• Identify and flag deviations from documentation standards (e.g., E/M coding compliance, clinical logic, medical terminology).
• Assist in developing QA benchmarks, checklists, and protocols for documentation testing.
• Participate in cross-functional discussions to enhance AI model accuracy and usability.
• Background in medical scribing, clinical documentation, or healthcare administration.
• Bachelor’s degree in healthcare (MBBS, BHMS, BAMS, B.Pharm, or a related field).
• Strong knowledge of medical terminology and clinical reasoning.
• Familiarity with coding standards (ICD-10, CPT, E/M guidelines) is a plus.
• Experience in reviewing or testing AI/ML-based health tech products.
• High attention to detail and a strong commitment to documentation accuracy.
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OmniMD
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