FIND HealthCareers

Artificial Intelligence

• Review AI-handled patient phone calls and interactions
• Evaluate workflow accuracy and patient communication quality
• Assess common front office scenarios including:
• Appointment scheduling and rescheduling
• Medication refill requests
• Payment collection and billing inquiries
• Insurance-related questions
• Patient intake and registration workflows
• Identify workflow gaps and opportunities for improvement
• Provide structured feedback to the project team

Medical Front Office Coordinator – AI Model Training

• Review structured and unstructured EHR-style data (de-identified or synthetic)
• Identify key clinical signals, comorbidities, and risk factors
• Interpret data in a way that informs clinical decision-making
• Create comprehensive care plans from scratch based on provided scenarios
• Include appropriate diagnostics, treatment pathways, monitoring, and follow-up
• Apply specialty-specific best practices and clinical guidelines
• Review AI-generated care plans, summaries, or recommendations
• Assess for:
• Clinical accuracy
• Completeness
• Safety risks
• Logical consistency
• Provide clear, structured feedback and corrections
• Document step-by-step clinical reasoning behind decisions
• Explain why a care plan is correct, incomplete, or unsafe
• Identify gaps, omissions, and flawed assumptions in AI outputs
• Contribute to the creation of evaluation rubrics and scoring frameworks
• Help define what “good” clinical reasoning and care planning looks like
• Collaborate on standardizing quality benchmarks for AI evaluation

Medical Front Office Coordinator – AI Model Training

Physician/Nurse Practitioner – Clinical Review, AI Care Plan Evaluation