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Layer Health

AI platform for clinical chart review

Clinical Quality Data Abstraction Specialist - Cathpci, Contractor

Nursing & Frontline Patient CareConfirmed live in the last 24 hours
Part-timeRemote in USA$28 - $35 /hrRemote

About the Job

Requirements

  • 1+ years abstraction within the CathPCI Registry (this is a 100% requirement)
  • Exposure to multiple patient medical record systems (Electronic Medical Records) and clinical databases.
  • Ability to thrive in a fast and ever-changing environment.

Responsibilities

  • Assist with case abstraction under the direction of a Team Leader
  • Complete assigned abstractions in a timely manner
  • As a start up organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

About the Company

Layer Health

AI platform for clinical chart review

Layer Health builds an enterprise AI platform for healthcare chart review. It uses a healthcare-focused large language model (LLM) to analyze longitudinal patient charts, enabling clinicians and life sciences teams to answer complex clinical questions, automate clinical registries, and generate quality measurements. The system works by processing patient charts through modules that support registry data submission, real-world evidence abstraction, and patient registries, with emphasis on accuracy, configurability, and security. It differentiates itself from competitors through healthcare-specific validation, enterprise-grade security/compliance, and a broad set of use cases tailored to both health systems and life sciences, enabling faster, more reliable data analysis with fewer administrative burdens. Its goal is to streamline chart review, improve data quality, and free clinicians to focus more on patient care by delivering actionable insights and reliable data faster.

Company size
51-200
Company stage
Series A
Total funding
$25M
Headquarters
Boston, MA
Founded
2023

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