5 дней назад
Family Medicine Physicians (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Family Medicine Physicians (AI): Reviewing medical records and evaluating AI-generated clinical content for accuracy, safety, completeness, and alignment with patient encounters with an accent on evidence-based judgment across preventive, acute, and chronic care. Focus on adjudicating ambiguous clinical information, categorizing documentation errors by severity, and improving review guidelines for next-generation AI systems.
Location: United States — Remote
Company
Boutique consultancy providing IT professional services and engineering talent solutions, including support for high-performing team development.
What you will do
- Review inpatient clinical documentation, including histories and physicals, progress notes, and discharge summaries.
- Assess documentation for clinical accuracy, completeness, and alignment with patient encounters.
- Adjudicate ambiguous, conflicting, or inconsistent clinical information using medical judgment.
- Identify and categorize clinically significant errors, omissions, and discrepancies by severity.
- Apply structured review rubrics and provide concise written explanations for review decisions.
- Contribute to documentation review guidelines and quality standards for AI system training and evaluation.
Requirements
- Based in the United States and appropriately licensed to practice medicine in the U.S.
- Active MD degree.
- Hands-on clinical experience in family medicine or primary care.
- Broad knowledge of acute and chronic conditions, preventive care, and patient management across age groups.
- Strong understanding of evidence-based clinical guidelines and standards of care.
- Excellent communication skills, attention to detail, and critical assessment abilities.
Culture & Benefits
- Remote contract role supporting the training and evaluation of next-generation AI systems.
- Prior AI experience is not required.
- Opportunity to improve AI performance in real-world healthcare scenarios.
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