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Data Abstraction Jobs (NOW HIRING)

Oncology Data Specialist - Remote

Anderson, SC ยท On-site +1

  • Medical

  • Retirement

  • PTO

Responsible for the review and detailed abstraction and coding of cancer registry data from electronic medical records in compliance with state and national guidelines. The Oncology Data Specialist ...

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Data Abstraction information

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How much do data abstraction jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data abstraction in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is data abstraction?

Data abstraction is the process of simplifying complex data by extracting relevant information and presenting it in a more manageable form. In many industries, especially healthcare, data abstractors review records and summarize key details into databases for analysis and reporting. This helps organizations make informed decisions by focusing on essential data points without unnecessary details. Data abstraction improves efficiency, accuracy, and data organization.

What are the key skills and qualifications needed to thrive as a data abstractor?

To thrive as a Data Abstractor, you need strong analytical skills, attention to detail, and a background in health information management or a related field, often supported by a relevant certification such as RHIT or RHIA. Familiarity with electronic health records (EHR) systems, data abstraction software, and coding standards like ICD-10 and CPT is typically required. Excellent organizational abilities, problem-solving skills, and clear communication help individuals excel in reviewing and extracting precise data from complex documents. These skills are crucial for ensuring data accuracy, supporting healthcare quality initiatives, and enabling effective decision-making.

What are some common challenges faced by data abstraction professionals, and how can they be addressed?

Data abstraction professionals often encounter challenges such as ensuring the accuracy and consistency of extracted data, navigating incomplete or ambiguous source documents, and staying updated with changing data standards. To address these issues, it's important to develop strong attention to detail, establish clear data abstraction protocols, and participate in regular training sessions. Collaborating closely with quality assurance teams and leveraging technology, such as data abstraction software, can also help maintain high standards and efficiency in the role.

What is the difference between Data Abstraction vs Data Analyst?

AspectData AbstractionData Analyst
Required CredentialsTypically a degree in computer science, information systems, or related fieldsUsually a degree in statistics, mathematics, or related fields
Work EnvironmentSoftware development teams, IT departments, data management projectsBusiness intelligence teams, marketing, finance, and operations departments
Employer & Industry UsageTech companies, software firms, data management organizationsCorporations across various industries, consulting firms, market research

Data Abstraction focuses on simplifying complex data structures in software development, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but serve different purposes within data management and analysis.

How to become a data abstractor?

To become a data abstractor, typically you need a high school diploma or equivalent, strong attention to detail, and good organizational skills. Many employers prefer candidates with experience in healthcare, insurance, or related fields, and familiarity with electronic health records or data management tools. Certification programs are available to enhance skills and job prospects.

What do data abstractors do?

Data abstractors collect, review, and summarize information from various sources such as medical records, documents, or databases to create concise, standardized summaries. They often use specialized software and must ensure accuracy and confidentiality in their work, which is essential in fields like healthcare and research.
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What states have the most Data Abstraction jobs?

States with the most job openings for Data Abstraction jobs include:

Infographic showing various Data Abstraction job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

NSQIP-Adult (Remote)

American Data Network

Little Rock, AR โ€ข Remote

Contractor

Re-posted 12 days ago


Job description

Why ADN? Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work.


Position Summary: American Data Network is seeking experienced NSQIP-Adult Registry Abstractors to support accurate and timely surgical registry abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on NSQIP-Adult abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy.


This is not a general data entry position. Candidates must have direct healthcare registry, clinical chart review, quality reporting, or data abstraction experience specific to NSQIP-Adult Registry.


Position Details: ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week.


Key Responsibilities:

  • Reviews patient medical records and abstracts data for the NSQIP-Adult Registry. 
  • Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently.
  • Interprets clinical documentation related to surgical procedures, diagnoses, treatments, outcomes, complications, and related quality measures.
  • Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems.
  • Maintains a high level of abstraction accuracy, completeness, and attention to detail.
  • Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines.
  • Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews.
  • Communicates professionally with account leads, team members, and client contacts when clarification is needed.
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.


Qualifications:

Required:

  • Current Surgical Clinical Reviewer certification required. 
  • At least 2 years of recent NSQIP-Adult Registry abstraction experience
  • Ability to independently abstract NSQIP-Adult cases using registry specifications and clinical documentation.
  • Strong understanding of healthcare quality reporting, registry abstraction, clinical documentation review, and medical record interpretation.
  • Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines.
  • Strong attention to detail, organization, documentation, and follow-through.
  • Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned.
  • Excellent interpersonal and written communication skills.
  • Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors.


Preferred:

  • Experience using the NSQIP-Adult application, NSQIP-Adult reports, and/or other related data collection tools.
  • Experience with IRR, QA review, audit validation, and/or abstraction accuracy review.


Screening & Onboarding: Qualified candidates will complete an initial phone screen and a NSQIP-Adult specific abstraction assessment. The assessment is designed to evaluate understanding of registry specifications, abstraction judgment, accuracy, and completion speed.


ADN does not provide NSQIP-Adult abstraction training, so candidates should already have the registry experience needed for the role. After hire, ADN provides onboarding to ADN processes, client systems, EHR access, documentation tendencies, and other client-specific workflows.


Why This Role May Be a Good Fit: This position may be a strong fit for experienced NSQIP-Adult abstractors who enjoy independent work, flexible scheduling, registry-based chart review, healthcare quality reporting, and contributing to meaningful work that supports hospitals and patient care. ADN offers a knowledgeable and supportive team environment, multiple registry opportunities, and potential growth into lead or expanded quality roles for strong performers.