Hospitalist Physician - Clinical Documentation & AI Evaluation

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 Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required.

Key Responsibilities

• Review medical records, including FHIR data, structured clinical information, and narrative clinical notes.
• Verify that clinical claims and extracted information are supported by the source medical record.
• Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans.
• Identify missing, inaccurate, contradictory, or inconsistent clinical information.
• 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 Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials.

• Current or recent inpatient or hospitalist clinical experience within the past two years.

• Strong understanding of inpatient care, hospital workflows, and clinical documentation standards.

• Ability to interpret clinical notes and structured medical record data.

• Excellent attention to detail and the ability to apply review guidelines consistently.

• Strong written communication skills and the ability to explain clinical findings clearly.