Hospitalist Physician: AI Data Quality Reviewer

Crossing Hurdles; Ciudad de México; À distance; MXN 600 000 - 900 000; Plein temps

Résumé du poste

Crossing Hurdles is seeking a physician reviewer to analyze medical records for AI training and data quality. You will assess inpatient notes, charts, and FHIR data to ensure accuracy and support for claims.

Ideal candidates hold MD/DO board certification in Internal Medicine, Pediatrics, or Hospital Medicine, with strong attention to detail and clear communication within the project team.

Qualifications

• MD or DO, board certified in Internal Medicine, Pediatrics, or Hospital Medicine.
• Strong relevant experience in inpatient/hospitalist settings.
• Strong understanding of inpatient documentation and hospital workflows.
• Comfortable reviewing clinical notes and raw medical record data.
• Strong attention to detail and ability to follow clear guidelines consistently.
• Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.

Responsabilités

• Review medical records, including FHIR data and clinical notes for AI Training.
• Check whether clinical information and claims are supported by the medical record.
• Review inpatient documentation, including HPI, PMH, assessments, and plans.
• Identify missing, incorrect, or inconsistent information in medical records.
• Share feedback to help improve AI models and data quality.
• Communicate clearly with the project team about your work and findings.

Connaissances

Medical record review

Attention to detail

Communication skills

Formation

MD/DO

Description du poste

Crossing Hurdles is seeking a physician reviewer to analyze medical records for AI training and data quality. You will assess inpatient notes, charts, and FHIR data to ensure accuracy and support for claims.

Ideal candidates hold MD/DO board certification in Internal Medicine, Pediatrics, or Hospital Medicine, with strong attention to detail and clear communication within the project team.