Artificial Intelligence

• Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation.
• Verify that clinical claims and extracted information are supported by the source medical record.
• Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans.
• Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing.
• Apply established review guidelines and documentation standards consistently.
• Provide clear, evidence-based feedback to improve AI model performance and clinical data quality.
• Document findings accurately and communicate review outcomes to the project team.

Explore Pediatric Hospital Medicine Specialist – AI Clinical Evaluation at Gramian Consulting. Review requirements and application details.

Pediatric Hospital Medicine Specialist – AI Clinical Evaluation

Game Development Expert – AI Training Projects

AI Business Value Advisor

Licensed Physician, Freelance AI Trainer

Product Head, AI

AI-Powered Marketing Specialist

Technical AI Evaluation Analyst – LATAM

Computational Biology – AI Specialist

Marketing Manager, AI and Lifecycle

AI Creative Marketing Manager