Hospitalist Clinical Documentation Reviewer

The work

As a Hospitalist Clinical Documentation Reviewer, you will evaluate inpatient clinical records for accuracy, completeness, clinical appropriateness, and alignment with the patient encounter. You will use clinical judgment to review H&Ps, progress notes, and discharge summaries.

You will make consistent decisions on unclear or conflicting documentation, explain your reasoning, and help maintain practical review guidelines and quality standards.

• Review inpatient H&Ps, progress notes, and discharge summaries.
• Identify clinically important errors, omissions, and inconsistencies.
• Adjudicate ambiguous or conflicting information and document clear decisions.
• Classify documentation issues by severity using structured rubrics.
• Write concise rationales and provide feedback on review standards.

What it pays and takes

This is a remote, part-time contractor role for experienced hospitalists or clinicians with strong documentation review experience. The work requires independent judgment and clear written and verbal communication about complex clinical decisions.

• Pay: $100 to $150 per hour.
• Time: 20+ hours per week.
• Location: Remote, in the countries supported for this role.
• Language: English.
• Required: MD or DO degree with board certification in Internal Medicine or Family Medicine.
• Required: At least five years as an attending hospitalist or demonstrated leadership in documentation audit programs.
• Required: Deep familiarity with inpatient documentation standards and hospital quality assurance processes.
• Required: Understanding of how documentation affects coding, billing, and compliance.
• Helpful: Experience with clinical documentation improvement, documentation QA, audits, or clinical quality leadership.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses human review to help improve artificial intelligence systems. In this role, your clinical judgments and explanations help assess the quality and reliability of AI-related documentation work, while your medical expertise supports accurate evaluation of complex records.