Pediatric Hospital Medicine Specialist – AI Clinical Evaluation

• 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

• MD or DO degree
• Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable
• At least 5 years of hospitalist experience
• Current or recent inpatient pediatric hospitalist experience within the past two years
• Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation
• Ability to interpret clinical notes and structured medical record data
• Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently
• Clear written communication skills and the ability to explain clinical findings accurately