Eye Care Specialists: Clinical Note Review for Diagnosis Extraction

What We're Researching

We're running a paid study evaluating how accurately ICD-10 diagnosis codes and eye laterality can be extracted from clinical documentation. This work helps improve automated clinical coding systems by ensuring that extracted codes are fully supported by the underlying narrative text. Your expertise will provide the clinical verification needed to measure extraction quality.

How It Works

You will work remotely to review a series of de-identified eye care clinical notes. For each note, you will evaluate whether the provided ICD-10 codes and eye laterality match the clinical evidence found in the text. You will flag discrepancies, missing information, or unsupported code assignments directly in our review platform. The project is fully asynchronous and runs from October 28 to November 2.

Who This Is For

We are looking for professionals with deep experience in ophthalmology or optometry clinical documentation. We welcome certified medical coders specializing in eye care, practicing optometrists, ophthalmologists, and clinical documentation improvement specialists. Ideal candidates have a strong working knowledge of ICD-10 guidelines specifically regarding eye laterality and complex ocular diagnoses.

What You'll Do

• Read and interpret de-identified eye care clinical notes
• Evaluate extracted ICD-10 diagnosis codes for clinical accuracy
• Verify that eye laterality is correctly captured based on the text
• Identify and flag unsupported or missing diagnostic codes

Who Should Apply

• Professional experience in eye care clinical documentation or medical coding
• Strong working knowledge of ICD-10 diagnosis coding guidelines
• Familiarity with optometry or ophthalmology terminology
• Availability to complete asynchronous review tasks between October 28 and November 2

Compensation

$200 per hour

Ready to participate?

Start your paid interview now

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at or on YouTube at @jointerac.