Family Medicine Hospitalist
micro1 · 100% remote · Contract · Posted
- Pay
- $80–125/hr
- Location
- Worldwide
- Languages
- English
- Hours
- Flexible
- Openings
- 50
- Level
- Expert
Summary
Review medical records and inpatient documentation to check whether clinical information is supported by the record, applying family medicine expertise to train AI systems. Identify inconsistencies and share feedback to improve data quality.
What you'll do
- 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
- Follow clear guidelines and apply the same standards consistently
- 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 work and findings
Requirements
- Have at least 5 years of hospitalist experience
- Hold an MD or DO and be board certified in Family Medicine or Family Medicine with a Hospital Medicine focus
- Have current or recent inpatient or hospitalist experience within the last 2 years
- Understand inpatient documentation and hospital workflows including admission, daily progress notes, transitions of care, and discharge
- Be comfortable reviewing clinical notes and raw medical record data
- Pay strong attention to detail and follow clear guidelines consistently
- Experience with chart review, clinical documentation improvement, utilization review, or medical coding or QA is a plus
Skills
- Family Medicine
- Quality Assurance
- CDI
- Inpatient Medicine
- Clinical Documentation
Full description
Role Title: Family Medicine Hospitalist
Role Type: Contractor
Location: Remote
micro1 is engaging Family Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your broad clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
- 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.
- Follow clear guidelines and apply the same standards consistently.
- 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.
Preferred Qualifications
- At least 5 years of hospitalist experience.
- MD or DO, board certified in Family Medicine (or Family Medicine with a Hospital Medicine focus or certification).
- Current or recent inpatient/hospitalist experience (within the last 2 years).
- Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge.
- 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.
- Experience across a broad patient mix, such as adult medicine, geriatrics, pediatrics, or obstetric/newborn care, is a plus. Family medicine’s cross-population training is especially valuable here.
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