Clinical Data Abstractor

Position: Remote Vascular Data Abstractor

Openings: 2

Address: Fully Remote

Shift Times: Flexible scheduling within Monday-Friday, 9am-8pm PST (no weekends). Must be available 20 hours/week, working 4-hour blocks.

Duration: 3-month contract (potential to extend)

Pay Rate: $28/hr - $35/hr

Start Date: Late July/Early August

Job Description

Insight Global is seeking a fully remote VQI/Vascular Registry Data Abstractor to support a Healthcare AI client. This is a part-time opportunity working approximately 20 hours/week where candidates will apply their clinical registry expertise 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 Vascular registries (VQI).
• 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 working in the VQI Registry.
• Experience working with VQI or vascular 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

• Active certification relevant to assigned registries (CPHQ, RHIA, RHIT, or RN with strong clinical background).
• Experience working across multiple registries (EVAR, Carotid, PAD, SVS Vascular, PVI, VICTR).
• 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.