1

Data Abstraction Jobs (NOW HIRING)

Performs primary data abstraction duties for NCDR Chest Pain-MI Registry and ensures high levels of abstraction accuracy for assigned accounts via validation activities. Demonstrates strong ...

Clinical Data Review Coordinator

Santa Monica, CA ยท On-site

$95.40K - $208.30K/yr

Ensure all data abstraction aligns with established specifications, guidelines, and timelines . * Perform data quality validation , including inter-rater reliability reviews, secondary case reviews ...

Clinical Data Review Coordinator

Santa Monica, CA ยท On-site

$95.40K - $208.30K/yr

Ensure all data abstraction aligns with established specifications, guidelines, and timelines . * Perform data quality validation , including inter-rater reliability reviews, secondary case reviews ...

Performs primary data abstraction duties for NCDR LAAO Registry and ensures high levels of abstraction accuracy for assigned accounts via validation activities. Demonstrates strong communication ...

next page

Showing results 1-20

Data Abstraction information

See salary details

$14

$25

$39

How much do data abstraction jobs pay per hour?

As of May 29, 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 are the key skills and qualifications needed to thrive as a Data Abstractor, and why are they important?

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 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 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.

More about Data Abstraction jobs
What cities are hiring for Data Abstraction jobs? Cities with the most Data Abstraction job openings:
What are the most commonly searched types of Data Abstraction jobs? The most popular types of Data Abstraction jobs are:
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 May 2026, with employment types broken down into 78% Part Time, and 22% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
NCDR Afib Abstractor (Remote, FT or PT)

NCDR Afib Abstractor (Remote, FT or PT)

American Data Network

Little Rock, AR โ€ข On-site, Remote

Full-time

Posted 16 days ago


Job description

Why ADN? Join the American Data Network family and become an integral part of a dynamic and purpose-driven organization. At ADN, we're not just a company; we're a community of passionate professionals dedicated to making a difference in healthcare. Embark on a journey where your work goes beyond a job description - it becomes a meaningful contribution to the improvement of patient care. We foster a culture of integrity, excellence, continuous learning, collaboration, and a genuine commitment to making a positive impact. If you're ready to be part of a trusted advisor in healthcare data services and shape the future of quality and patient safety, come build your career with us at American Data Network. Make every day count, and make a difference with ADN.
Job Summary: Performs primary data abstraction duties for NCDR Afib Registry and ensures high levels of abstraction accuracy for assigned accounts via validation activities. Demonstrates strong communication, documentation, organizing, and planning skills to ensure strong leadership of multiple accounts concurrently.
Responsibilities:
  • Collects and abstracts data from patient medical records, especially those related to cardiac care. This includes information on diagnoses, treatments, procedures, and outcomes.
  • Ensures the accuracy and completeness of the abstracted data. This involves cross-referencing information from multiple sources within a patient's medical record.
  • Adheres to specific clinical data abstraction guidelines and standards, such as those set by the American College of Cardiology.
  • Enters the abstracted data into a database or registry, often using specialized software. This includes maintaining and updating the data as necessary.
  • Participates in quality assurance processes to ensure data integrity. This involves routine audits of the data or the abstraction process.
  • Remains informed about developments in cardiac care and data management to ensure ongoing competency in the role.

Qualifications:
  • Experience abstracting in the NCDR Afib Registry within the last 2 years is required.
  • Familiar with medical records, billing/documentation practices, Microsoft Office, and standard healthcare quality concepts
  • Ability to work independently.
  • Relies on experience and judgment to plan/accomplish goals.
  • Maintains a strict level of confidentiality in all aspects of work.
  • Demonstrates a high standard of accuracy and attention to detail.
  • Excellent interpersonal and communication skills.
  • Remote position.
  • MSN, BSN, or RN preferred.
  • CPHQ preferred.