Clinical Data Abstractor

Insight Global

United States

On-site

USD 41,328 - 48,216

Part time

14 days+

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Benefits offered by this job

Laptop provided
Fully remote work

Job summary

Insight Global is seeking a fully remote Cardiovascular Data Abstractor to support a Healthcare AI client. This is a part-time opportunity working approximately 20 hours/week (4 hour blocks Mon-Fri) where candidates will apply their NCDR knowledge to review, abstract, and validate patient data while partnering closely with AI product teams.

Laptop and equipment will be provided. The role requires 3+ years of hands-on data abstraction, registry knowledge in TVT and LAAO, and familiarity with EHR

Qualifications

  • 3+ years of hands-on clinical data abstraction experience.
  • Registry-specific training/knowledge in TVT and LAAO.
  • Experience with clinical registries and interpreting data definitions.
  • Familiarity with EHR systems and clinical documentation workflows.

Responsibilities

  • Abstract clinical cases for NCDR registries such as TVT, LAAO, Stroke, and CathPCI.
  • Review patient charts in the EHR to identify required data elements.
  • Evaluate AI-generated abstractions and input finalized data into workflows.
  • Document data sources and ensure compliance with registry standards.
  • Explain abstraction decisions and clinical reasoning to product teams.
  • Identify inconsistencies or gaps between AI recommendations and best practices.
  • Collaborate with GTM and product teams to provide subject matter expertise.

Skills

Clinical data abstraction
NCDR TVT/LAAO knowledge
EHR systems familiarity
Data quality and detail orientation

Job description

Position: Remote Cardiovascular Data Abstractor

Openings: 1

Address: Fully Remote

Shift Times: Flexible scheduling within Monday-Friday, 9am-8pm PST (can't work weekends)

(must be available 20 hours/week from 9am-8pm PST // working 4 hour blocks Mon-Fri)

Duration: 3-month contract (potential to extend)

Pay Rate: $30/hr – $35/hr

Start Date: ASAP

Interview Process: 1 round, each are 30 minute virtual interviews

Interview Times: Flexible based on candidate availability

JOB DESCRIPTION

Insight Global is seeking a fully remote Cardiovascular Data Abstractor to support a Healthcare AI client. This is a part-time opportunity working approximately 20 hours/week (working 4 hour blocks Mon-Fri) where candidates will apply their NCDR knowledge to review, abstract, and validate patient data while partnering closely with AI product teams. This role is highly detail-oriented and analytical, requiring a strong understanding of registry guidelines, clinical documentation, and abstraction workflows. Laptop and equipment will be provided.

Responsibilities
  • Abstract clinical cases for one or more NCDR (National Cardiovascular Data Registry) registries such as TVT, LAAO, Stroke, Chest Pain-MI, CathPCI, and others
  • Review patient charts within the EHR to identify required data elements based on current registry specifications
  • Evaluate and validate AI-generated abstraction recommendations and input finalized data into the abstraction workflow
  • Accurately document data sources and ensure compliance with registry standards and guidelines
  • Provide clear explanations of abstraction decisions and clinical reasoning to internal product teams to enhance AI performance
  • Identify inconsistencies or gaps between AI recommendations and registry best practices
  • Partner with GTM and product teams to provide subject matter expertise and critique clinical presentations
REQUIRED SKILLS AND EXPERIENCE
  • 3+ years of hands-on clinical data abstraction experience
  • Registry-specific training/knowledge in TVT and LAAO
  • Experience working with clinical registries and interpreting registry data definitions/specifications
  • Familiarity with EHR systems and clinical documentation workflows
  • Strong attention to detail and ability to explain abstraction logic and decision-making
NICE TO HAVE SKILLS AND EXPERIENCE
  • Experience working across multiple NCDR registries such as CathPCI, CPMI, etc.
  • Previous exposure to AI-assisted workflows or healthcare technology products
  • Background in quality improvement, data analysis, or clinical informatics
  • Comfort working in a fast-paced, tech-enabled healthcare environment
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