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Clinical Quality Data Abstraction Specialist - GWTG (Contractor)

External
layerhealth logoLayerhealth · Remote
Full-timeRemote4mo ago
Machine Learning
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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!

Requirements

  • 1+ years abstraction within the GWTG Stroke or Heart Failure Registry (this is a 100% requirement)
  • Exposure to multiple patient medical record systems (EMRs) and clinical databases.
  • Ability to thrive in a fast and ever-changing environment.

Benefits

Health insuranceVision insuranceRemote work options

Additional Information

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're building a team of clinical abstractors for our GWTG work (specifically focused within Stroke and Heart Failure). This is a remote (US only) part time (~15 hours per week) contractor opportunity.


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