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Pediatric Hospital Medicine Specialist - AI Clinical Evaluation

πŸ•’ 7 days ago
Pediatric Hospital MedicinePediatric Inpatient WorkflowsFHIR DataClinical Documentation Review
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πŸ“œ Description

  • Verify clinical claims and extracted information against source records.
  • Evaluate pediatric inpatient documentation, including histories, assessments, and treatment plans.
  • Identify missing, inaccurate, or inconsistent details, including age-appropriate considerations and weight-based medication dosing.
  • Apply review guidelines and documentation standards consistently; document findings and communicate outcomes.
  • Provide evidence-based feedback to improve AI model performance and clinical data quality.

πŸ› οΈ 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.

✨ Benefits

  • Review medical records
  • Narrative notes for AI training and evaluation
Full job description

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help 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.

Key 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.

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.

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