We are sharing a specialised remote consulting opportunity for experienced Hospitalist Physicians with strong expertise in inpatient clinical care, medical record review, clinical documentation, evidence-based medical reasoning, and healthcare quality assurance to contribute their professional knowledge to advanced AI training and evaluation initiatives.
Selected professionals will review inpatient medical records, assess clinical documentation, and evaluate the accuracy, completeness, and consistency of healthcare information used in advanced AI training. The work combines practical hospital medicine experience with structured chart review, clinical reasoning, evaluation rubrics, and medical data quality assurance to improve how AI systems interpret complex clinical information and assess medical accuracy.
Key Responsibilities
Clinical Record Review & Medical Data Evaluation
- Review inpatient medical records, clinical notes, and structured healthcare data, including FHIR resources.
- Evaluate whether documented clinical statements and findings are supported by the underlying medical record.
- Assess the accuracy, completeness, and consistency of patient information across relevant documentation.
- Identify discrepancies between structured medical data and narrative clinical notes.
- Apply professional medical judgement to support accurate AI training and clinical data evaluation.
Inpatient Documentation & Clinical Assessment
- Review inpatient documentation, including history of present illness (HPI) and past medical history (PMH).
- Evaluate clinical assessments, treatment plans, and documented medical reasoning.
- Assess whether clinical information accurately reflects the patient's documented condition and care.
- Identify missing, incorrect, or inconsistent details within inpatient medical records.
- Apply knowledge of hospital workflows to evaluate documentation quality and clinical relevance.
Clinical Reasoning & Medical Accuracy Assessment
- Assess the consistency of clinical conclusions with documented patient findings.
- Evaluate medical reasoning across realistic inpatient scenarios and relevant clinical specialties.
- Identify unsupported medical statements, incomplete assessments, and discrepancies in clinical interpretation.
- Review how patient history, clinical findings, and documented plans contribute to medical decision-making.
- Provide clinically grounded explanations of identified issues and appropriate documentation improvements.
AI Training & Rubric-Based Quality Evaluation
- Evaluate medical information used to train and assess advanced AI systems.
- Apply structured evaluation guidelines and rubrics consistently across assigned clinical review tasks.
- Assess AI-related medical outputs for factual accuracy, completeness, and alignment with source records.
- Identify documentation omissions, inaccurate interpretations, and inconsistencies affecting data quality.
- Provide detailed expert feedback to improve AI model performance and clinical evaluation standards.
Medical Documentation & Project Collaboration
- Prepare clear written evaluations documenting clinical review findings and recommended corrections.
- Explain medical record discrepancies and relevant clinical considerations accurately.
- Contribute professional insights concerning inpatient documentation and healthcare quality assurance.
- Communicate findings and project updates clearly to relevant team members.
- Maintain high standards of clinical accuracy, attention to detail, and consistent evaluation across assigned deliverables.
Ideal Profile
- MD or DO qualification with board certification in Internal Medicine, Pediatrics, or Hospital Medicine is preferred.
- Current or recent inpatient hospitalist experience, ideally within the past 2 years.
- Strong clinical expertise in hospital-based patient care and inpatient medical management.
- Demonstrated understanding of inpatient clinical documentation and hospital workflows.
- Experience reviewing medical records and evaluating documented clinical assessments.
- Strong knowledge of history of present illness (HPI) and past medical history (PMH) documentation.
- Practical experience assessing clinical reasoning, diagnoses, and treatment plans.
- Ability to determine whether medical conclusions are supported by the underlying patient record.
- Familiarity with electronic health records and structured healthcare information.
- Comfort reviewing FHIR resources or comparable raw medical record data.
- Strong understanding of medical documentation accuracy, completeness, and consistency.
- Ability to identify inaccurate, missing, or contradictory clinical information.
- Experience applying established clinical guidelines and structured evaluation criteria consistently.
- Strong analytical reasoning and professional medical judgement.
- Experience with clinical chart review or clinical documentation improvement (CDI) is advantageous.
- Familiarity with utilization review, medical coding, or clinical quality assurance is beneficial.
- Experience working across different inpatient services or clinical specialties is particularly valuable.
- Excellent written communication skills for explaining clinical findings and documentation discrepancies.
- Strong attention to detail when reviewing complex medical records.
- Ability to work independently on medical review and evaluation assignments.
- Effective communication skills for collaborating with multidisciplinary project teams.
- Prior experience with AI model training or evaluation projects is not required.
Engagement Details
- Freelance / contract engagement
- Fully remote
- Compensation: $100–$120/hour
- 50 available openings
- Professional Focus: Hospital medicine, inpatient clinical care, medical documentation, and healthcare data evaluation.
- Preferred Clinical Background: MD or DO with board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
- Preferred Experience: Current or recent inpatient hospitalist practice, ideally within the past 2 years.
- Technical Focus: FHIR records, clinical notes, HPI, PMH, clinical assessments, and medical documentation quality.
- Evaluation Focus: Clinical accuracy, evidence-supported medical statements, documentation completeness, and rubric-based quality assessment.
- Responsibilities will include reviewing medical records, identifying clinical inconsistencies, and evaluating documentation used in AI training.
- Assignments may involve clinical data annotation, medical reasoning assessments, and structured evaluation of inpatient records.
- Deliverables will include clinical review findings, medical accuracy assessments, and clear written feedback.
- Experience with clinical documentation improvement, utilization review, or medical quality assurance is particularly relevant.
- The engagement involves remote medical record evaluation and AI training support.
- Previous experience with AI training projects is not required.
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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