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.