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Data Abstraction Jobs (NOW HIRING)

$32/hr

Position: Flexible Schedule Clinical Data Abstractor Location: 100% Remote (Non-Benefit Position) Are you experienced in clinical data abstraction? Carta Healthcare Inc. is seeking talented ...

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Data Abstraction information

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How much do data abstraction jobs pay per hour?

As of Jul 30, 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 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.

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 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.
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 July 2026, with employment types broken down into 3% Locum Tenens, 29% Full Time, 15% Part Time, 1% Contract, 51% Nights, and 1% Summer. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

Account Lead, Data Abstraction Services (FT Remote or Onsite)

American Data Network

Little Rock, AR โ€ข Remote

Full-time

Posted 22 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 an experienced Account Lead, Data Abstraction Services to coordinate and support assigned data abstraction client accounts. This full-time role is ideal for candidates who have already served as an abstraction lead, registry lead, quality lead, or similar role, as well as experienced healthcare abstractors ready to move beyond primary chart abstraction into a client-facing account coordination and oversight role.

The Account Lead serves as the primary point of contact for assigned client accounts and ensures accurate, timely, and well-coordinated abstraction work across all assigned measures, registries, abstractors, client systems, and deadlines. This role supports account health, client satisfaction, abstractor coordination, documentation standards, quality review, billing readiness, and issue escalation.This position does not include direct reports.

This is not a general data entry or abstractor position. Candidates must have direct healthcare registry, clinical chart review, quality reporting, or data abstraction experience. The role requires strong organization, communication, prioritization, follow-through, problem-solving, and client relationship skills.


Position Details: This is a full-time position. ADN is hiring for remote or onsite candidates. Remote candidates must be available during normal business hours, Monday through Friday, to support client communication, internal operations, and account needs.


Key Responsibilities:

  • Serves as the primary contact for assigned data abstraction client accounts, including routine communication, deadline coordination, client questions, account updates, and feedback.
  • Coordinates account activity across assigned abstractors, client contacts, DAS Management, and internal teams to help ensure accurate, timely, and complete abstraction work.
  • Monitors account progress, deadlines, documentation, and completion status; follows up with abstractors and escalates barriers or concerns early when needed.
  • Maintains accurate and timely client account documentation, including trackers, preferences, and status updates to support progress monitoring, billing readiness, quality review, and client communication.
  • Supports onboarding of new abstractors to assigned client accounts, including client-specific workflows, preferences, and expectations.
  • Conducts and/or coordinates inter-rater reliability reviews, validation activities, feedback, correction, and follow-up to support abstraction accuracy and consistency.
  • Performs abstraction, IRR, gap coverage, or other chart review duties as needed based on client needs, staffing, deadlines, or account priorities.
  • Communicates professionally and proactively with clients, assigned abstractors, DAS Management, and internal teams.
  • Builds strong working relationships with clients by responding timely, maintaining routine touchpoints, identifying trends or opportunities for improvement, and helping clients view ADN as an extension of their quality team.
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.


Qualifications:

Required:

  • At least 2 years of recent healthcare quality abstraction, clinical registry, chart review, or data abstraction experience.
  • Experience with one or more clinical quality measures, registries, or abstraction programs, such as Core Measures, NCDR, STS, GWTG, NSQIP, NHSN, trauma, or other related registries.
  • Strong understanding of healthcare quality reporting, registry abstraction, clinical documentation review, medical record interpretation, and abstraction accuracy expectations.
  • Excellent written and verbal communication skills, including the ability to communicate professionally with clients and internal team members.
  • Strong organization, time management, documentation, follow-through, and attention to detail.
  • Ability to coordinate multiple priorities, deadlines, systems, and workflows while remaining responsive and accountable.
  • Ability to identify barriers, solve problems, escalate concerns appropriately, and work collaboratively with DAS Management.
  • Comfort working in multiple EHRs, registry platforms, vendor tools, spreadsheets, trackers, Google Drive, JIRA, Confluence, and other data collection or project management systems as assigned.
  • Availability during normal business hours, Monday through Friday, even if working remotely.


Preferred:

  • Prior experience as an abstraction lead, registry lead, quality lead, account lead, team lead, or similar role in a hospital, health system, vendor, or healthcare quality organization.
  • Experience supporting or coordinating abstractors, reviewing abstraction quality, conducting IRR, mentoring team members, or managing abstraction timelines.
  • Experience with client communication, account coordination, documentation tendency review, workflow development, audit support, or abstraction validation.
  • Experience with multiple measure sets, registries, EHRs, vendor tools, or healthcare quality programs.
  • Bachelor's degree, LPN, RN, RHIT, RHIA, CPHQ, or other healthcare quality, clinical, or registry-related credential.


Screening & Onboarding: Qualified candidates will complete an initial phone screen and measure/registry-specific abstraction assessments based on the experience listed in their application. These assessments are designed to evaluate current knowledge of specifications, abstraction judgment, accuracy, and completion speed.


ADN does not provide basic abstraction training, so candidates should already have the measure/registry experience needed for the role. After hire, ADN provides onboarding to ADN operations, account lead expectations, client systems, EHR access, documentation tendencies, and other client-specific workflows relevant to assigned accounts.


Why This Role May Be a Good Fit: This position may be a strong fit for experienced abstractors, registry leads, or quality professionals who enjoy account ownership, client communication, abstractor support, quality oversight, and operational coordination. This role is ideal for someone who is organized, responsive, detail-oriented, and comfortable balancing client expectations, abstractor needs, deadlines, documentation, and quality requirements.


ADN offers a knowledgeable and supportive team environment, meaningful work that supports hospitals and patient care, and the opportunity to contribute to a growing healthcare quality service line.