Pediatric Hospital Medicine Specialist - AI Clinical Evaluation

Gramian Consulting Group

11h

About The Position

Gramian Consultancy is seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. The role involves reviewing medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. The goal is to identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree